Image-Text-to-Text
Transformers
Safetensors
interfaze_lite
feature-extraction
vlm
any-to-text
audio-text-to-text
multimodal
multilingual
mixture-of-architectures
ocr
document-understanding
speech-recognition
speaker-diarization
object-detection
gui-grounding
image-segmentation
translation
time-series-forecasting
guardrails
structured-output
agent
custom_code
Instructions to use suryatmodulus/interfaze-1-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suryatmodulus/interfaze-1-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="suryatmodulus/interfaze-1-lite", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("suryatmodulus/interfaze-1-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use suryatmodulus/interfaze-1-lite with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "suryatmodulus/interfaze-1-lite" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "suryatmodulus/interfaze-1-lite", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/suryatmodulus/interfaze-1-lite
- SGLang
How to use suryatmodulus/interfaze-1-lite with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "suryatmodulus/interfaze-1-lite" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "suryatmodulus/interfaze-1-lite", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "suryatmodulus/interfaze-1-lite" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "suryatmodulus/interfaze-1-lite", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use suryatmodulus/interfaze-1-lite with Docker Model Runner:
docker model run hf.co/suryatmodulus/interfaze-1-lite
Commit ·
33c0287
0
Parent(s):
Duplicate from interfaze-ai/interfaze-1-lite
Browse filesCo-authored-by: Harsha Vardhan Khurdula <HV-Khurdula@users.noreply.huggingface.co>
This view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +42 -0
- .interfaze-config-sha-marker +1 -0
- LICENSE +368 -0
- NOTICE +708 -0
- README.md +296 -0
- agent.py +223 -0
- asr_fallback/.interfaze-sha-marker +1 -0
- asr_fallback/added_tokens.json +1612 -0
- asr_fallback/config.json +49 -0
- asr_fallback/generation_config.json +250 -0
- asr_fallback/merges.txt +0 -0
- asr_fallback/model.safetensors +3 -0
- asr_fallback/normalizer.json +1743 -0
- asr_fallback/preprocessor_config.json +15 -0
- asr_fallback/special_tokens_map.json +140 -0
- asr_fallback/tokenizer.json +0 -0
- asr_fallback/tokenizer_config.json +0 -0
- asr_fallback/vocab.json +0 -0
- assets/interfaze-1.1-lite-banner.png +3 -0
- brain/.interfaze-sha-marker +1 -0
- brain/chat_template.jinja +170 -0
- brain/config.json +1034 -0
- brain/generation_config.json +13 -0
- brain/layers-0.safetensors +3 -0
- brain/layers-1.safetensors +3 -0
- brain/layers-10.safetensors +3 -0
- brain/layers-11.safetensors +3 -0
- brain/layers-12.safetensors +3 -0
- brain/layers-13.safetensors +3 -0
- brain/layers-14.safetensors +3 -0
- brain/layers-15.safetensors +3 -0
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- brain/layers-17.safetensors +3 -0
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- brain/layers-21.safetensors +3 -0
- brain/layers-22.safetensors +3 -0
- brain/layers-23.safetensors +3 -0
- brain/layers-24.safetensors +3 -0
- brain/layers-25.safetensors +3 -0
- brain/layers-26.safetensors +3 -0
- brain/layers-27.safetensors +3 -0
- brain/layers-28.safetensors +3 -0
- brain/layers-29.safetensors +3 -0
- brain/layers-3.safetensors +3 -0
- brain/layers-30.safetensors +3 -0
- brain/layers-31.safetensors +3 -0
- brain/layers-32.safetensors +3 -0
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| 1 |
+
# THIRD-PARTY LICENSES
|
| 2 |
+
|
| 3 |
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Interfaze 1.1 Lite includes the following third-party models. Each remains subject to its upstream license; the Interfaze Apache 2.0 license does not supersede those terms.
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| 4 |
+
|
| 5 |
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## Apache License 2.0
|
| 6 |
+
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| 7 |
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1. [Qwen3.8 27B](https://huggingface.co/Qwen/Qwen3.8-27B-FP8/blob/main/LICENSE)
|
| 8 |
+
2. [Qwen3Guard-Gen-0.6B](https://huggingface.co/Qwen/Qwen3Guard-Gen-0.6B/blob/main/LICENSE)
|
| 9 |
+
3. [SAM 2.1](https://github.com/facebookresearch/sam2/blob/main/LICENSE)
|
| 10 |
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4. [TimesFM 2.5](https://github.com/google-research/timesfm/blob/master/LICENSE)
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| 11 |
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5. [PP-OCRv5 detection](https://huggingface.co/PaddlePaddle/PP-OCRv5_server_det)
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| 12 |
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6. [PP-OCRv5 recognition](https://huggingface.co/PaddlePaddle/en_PP-OCRv5_mobile_rec)
|
| 13 |
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7. [PP-DocLayout](https://huggingface.co/PaddlePaddle/PP-DocLayout_plus-L)
|
| 14 |
+
|
| 15 |
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## MIT License
|
| 16 |
+
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| 17 |
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1. [Whisper large-v3 turbo](https://huggingface.co/openai/whisper-large-v3-turbo)
|
| 18 |
+
2. [dots.mocr](https://huggingface.co/dots-studio/dots.mocr/blob/main/dots.mocr%20LICENSE%20AGREEMENT)
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| 19 |
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| 20 |
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## CC BY 4.0
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| 21 |
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| 22 |
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1. [speaker-diarization-community-1](https://huggingface.co/pyannote/speaker-diarization-community-1)
|
| 23 |
+
|
| 24 |
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## Interfaze 1.1 Lite — Apache License 2.0
|
| 25 |
+
|
| 26 |
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The original work developed by Interfaze is licensed under the Apache License, Version 2.0. The complete license text is reproduced below.
|
| 27 |
+
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| 28 |
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---
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| 29 |
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| 30 |
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```text
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| 31 |
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Apache License
|
| 32 |
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| 33 |
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Version 2.0, January 2004
|
| 34 |
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|
| 35 |
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http://www.apache.org/licenses/
|
| 36 |
+
|
| 37 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
| 38 |
+
|
| 39 |
+
1. Definitions.
|
| 40 |
+
|
| 41 |
+
"License" shall mean the terms and conditions for use, reproduction,
|
| 42 |
+
|
| 43 |
+
and distribution as defined by Sections 1 through 9 of this document.
|
| 44 |
+
|
| 45 |
+
"Licensor" shall mean the copyright owner or entity authorized by
|
| 46 |
+
|
| 47 |
+
the copyright owner that is granting the License.
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```
|
NOTICE
ADDED
|
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|
| 1 |
+
NOTICE
|
| 2 |
+
|
| 3 |
+
This repository includes the following third-party model weights, repackaged:
|
| 4 |
+
each is stored under a folder named for its role, with model cards, example
|
| 5 |
+
images and provenance metadata removed. Tensor values were not modified.
|
| 6 |
+
Weight container metadata was changed to produce new file checksums.
|
| 7 |
+
|
| 8 |
+
- Qwen/Qwen3.8-27B-FP8 (Qwen) -- licence: apache-2.0
|
| 9 |
+
- dots-studio/dots.mocr (dots-studio) -- licence: mit
|
| 10 |
+
- openai/whisper-large-v3-turbo (openai) -- licence: mit
|
| 11 |
+
- pyannote/speaker-diarization-community-1 (pyannote) -- licence: cc-by-4.0
|
| 12 |
+
- facebook/sam2.1-hiera-large (facebook) -- licence: apache-2.0
|
| 13 |
+
- PaddlePaddle/PP-DocLayout_plus-L (PaddlePaddle) -- licence: apache-2.0
|
| 14 |
+
- PaddlePaddle/PP-OCRv5_server_det (PaddlePaddle) -- licence: apache-2.0
|
| 15 |
+
- PaddlePaddle/en_PP-OCRv5_mobile_rec (PaddlePaddle) -- licence: apache-2.0
|
| 16 |
+
|
| 17 |
+
==============================================================================
|
| 18 |
+
Qwen/Qwen3.8-27B-FP8
|
| 19 |
+
==============================================================================
|
| 20 |
+
|
| 21 |
+
By Qwen. Licensed under the Apache License, Version 2.0; the full text
|
| 22 |
+
appears below.
|
| 23 |
+
|
| 24 |
+
==============================================================================
|
| 25 |
+
dots-studio/dots.mocr
|
| 26 |
+
==============================================================================
|
| 27 |
+
|
| 28 |
+
Copyright (c) dots-studio
|
| 29 |
+
|
| 30 |
+
Permission is hereby granted, free of charge, to any person obtaining a copy of this
|
| 31 |
+
software and associated documentation files (the "Software"), to deal in the Software without
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| 32 |
+
restriction, including without limitation the rights to use, copy, modify, merge, publish,
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| 33 |
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| 34 |
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Software is furnished to do so, subject to the following conditions:
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| 35 |
+
|
| 36 |
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The above copyright notice and this permission notice shall be included in all copies or
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| 37 |
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| 39 |
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
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| 40 |
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BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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| 41 |
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
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| 42 |
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DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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| 43 |
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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| 44 |
+
|
| 45 |
+
==================================================================
|
| 46 |
+
=============== Copyright Notice and License Texts ===============
|
| 47 |
+
==================================================================
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| 48 |
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| 49 |
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|
| 50 |
+
------------- LICENSE FOR gradio CODE --------------
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| 51 |
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| 52 |
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Copyright notice:No copyright info provided
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| 53 |
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| 54 |
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License:apache2.0
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| 55 |
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| 56 |
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Apache License
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| 57 |
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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------------- LICENSE FOR openai CODE --------------
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Copyright notice:Copyright 2025 OpenAI
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License:apache2.0
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Please see above.
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------------- LICENSE FOR qwen_vl_utils CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR transformers CODE --------------
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Copyright notice:Copyright 2018- The Hugging Face team. All rights reserved.
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License:apache2.0
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Please see above.
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------------- LICENSE FOR huggingface_hub CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR flash-attn CODE --------------
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Copyright notice:Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file. All rights reserved.
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License:BSD-3-Clause license
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BSD 3-Clause License
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Copyright (c) 2022, the respective contributors, as shown by the AUTHORS file. All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this list ofconditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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* Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISEDOF THE POSSIBILITY OF SUCH DAMAGE.
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------------- LICENSE FOR accelerate CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR OmniDocbench CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR Qwen2.5-VL CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR Hugging Face CODE --------------
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Copyright notice:Copyright 2019 Ross Wightman
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License:apache2.0
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Please see above.
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------------- LICENSE FOR vLLM CODE --------------
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Copyright notice:No copyright info provided
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License:apache2.0
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Please see above.
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------------- LICENSE FOR Doclaynet --------------
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Copyright notice:No copyright info provided
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License:Community Data License Agreement
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Community Data License Agreement – Permissive – Version 1.0
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This is the Community Data License Agreement – Permissive, Version 1.0 (“Agreement”). Data is provided to You under this Agreement by each of the Data Providers. Your exercise of any of the rights and permissions granted below constitutes your acceptance and agreement to be bound by the terms and conditions of this Agreement.
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The benefits that each Data Provider receives from making Data available and that You receive from Data or otherwise under these terms and conditions shall be deemed sufficient consideration for the formation of this Agreement. Accordingly, Data Provider(s) and You (the "Parties") agree as follows:
|
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+
Section 1. Definitions
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1.1 "Add" means to supplement Data with Your own or someone else's Data, resulting in Your “Additions.” Additions do not include Results.
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1.2 "Computational Use" means Your analysis (through the use of computational devices or otherwise) or other interpretation of Data. By way of example and not limitation, "Computational Use" includes the application of any computational analytical technique, the purpose of which is the analysis of any Data in digital form to generate information about Data such as patterns, trends, correlations, inferences, insights and attributes.
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1.3 "Data" means the information (including copyrightable information, such as images or text), collectively or individually, whether created or gathered by a Data Provider or an Entity acting on its behalf, to which rights are granted under this Agreement.
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+
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1.4 "Data Provider" means any Entity (including any employee or contractor of such Entity authorized to Publish Data on behalf of such Entity) that Publishes Data under this Agreement prior to Your Receiving it.
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+
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1.5 "Enhanced Data" means the subset of Data that You Publish and that is composed of (a) Your Additions and/or (b) Modifications to Data You have received under this Agreement.
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+
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+
1.6 "Entity" means any natural person or organization that exists under the laws of the jurisdiction in which it is organized, together with all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (a) the power, directly or indirectly, to cause the direction or management of such entity, whether by contract or otherwise, (b) the ownership of more than fifty percent (50%) of the outstanding shares or securities, (c) the beneficial ownership of such entity or, (d) the ability to appoint, whether by agreement or right, the majority of directors of an Entity.
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1.7 "Modify" means to delete, erase, correct or re-arrange Data, resulting in “Modifications.” Modifications do not include Results.
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1.8 "Publish" means to make all or a subset of Data (including Your Enhanced Data) available in any manner which enables its use, including by providing a copy on physical media or remote access. For any form of Entity, that is to make the Data available to any individual who is not employed by that Entity or engaged as a contractor or agent to perform work on that Entity's behalf. A "Publication" occurs each time you Publish Data.
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1.9 "Receive" or "Receives" means to have been given access to Data, locally or remotely.
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1.10 "Results" means the outcomes or outputs that You obtain from Your Computational Use of Data. Results shall not include more than a de minimis portion of the Data on which the Computational Use is based.
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1.11 "Sui Generis Database Rights" means rights, other than copyright, resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other equivalent rights anywhere in the world.
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1.12 "Use" means using Data (including accessing, copying, studying, reviewing, adapting, analyzing, evaluating, or making Computational Use of it), either by machines or humans, or a combination of both.
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1.13 "You" or "Your" means any Entity that Receives Data under this Agreement.
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Section 2. Right and License to Use and to Publish
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2.1 Subject to the conditions set forth in Section 3 of this Agreement, Data Provider(s) hereby grant(s) to You a worldwide, non-exclusive, irrevocable (except as provided in Section 5) right to: (a) Use Data; and (b) Publish Data.
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2.2 To the extent that the Data or the coordination, selection or arrangement of Data is protected or protectable under copyright, Sui Generis Database Rights, or other law, Data Provider(s) further agree(s) that such Data or coordination, selection or arrangement is hereby licensed to You and to anyone else who Receives Data under this Agreement for Use and Publication, subject to the conditions set forth in Section 3 of this Agreement.
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2.3 Except for these rights and licenses expressly granted, no other intellectual property rights are granted or should be implied.
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Section 3. Conditions on Rights Granted
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3.1 If You Publish Data You Receive or Enhanced Data:
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(a) You may do so under a license of your choice provided that you give anyone who receives the data from you the text of this Agreement, the name of this Agreement and/or a hyperlink or other method reasonably likely to provide a copy of the text of this Agreement; and
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(b) You must cause any Data files containing Enhanced Data to carry prominent notices that you have changed those files; and
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(c) If You Publish Data You Receive, You must preserve all credit or attribution to the Data Provider(s). Such retained credit or attribution includes any of the following to the extent they exist in the Data as You have Received it: legal notices or metadata; identification of the Data Provider(s); or hyperlinks to Data to the extent it is practical to do so.
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3.2 You may provide additional or different license terms and conditions for use, reproduction, or distribution of that Enhanced Data, or for any combination of Data and Enhanced Data as a whole, provided that Your Use and Publication of that combined Data otherwise complies with the conditions stated in this License.
|
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3.3 You and each Data Provider agree that Enhanced Data shall not be considered a work of joint authorship by virtue of its relationship to Data licensed under this Agreement and shall not require either any obligation of accounting to or the consent of any Data Provider.
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3.4 This Agreement imposes no obligations or restrictions on Your Use or Publication of Results.
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Section 4. Data Provider(s)' Representations
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4.1 Each Data Provider represents that the Data Provider has exercised reasonable care, to assure that: (a) the Data it Publishes was created or generated by it or was obtained from others with the right to Publish the Data under this Agreement; and (b) Publication of such Data does not violate any privacy or confidentiality obligation undertaken by the Data Provider.
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Section 5. Termination
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5.1 All of Your rights under this Agreement will terminate, and Your right to Receive, Use or Publish the Data will be revoked or modified if You materially fail to comply with the terms and conditions of this Agreement and You do not cure such failure in a reasonable period of time after becoming aware of such noncompliance. If your rights under this Agreement terminate, you agree to cease Receipt, Use and Publication of Data. However, your obligations and any rights and permissions granted by you under this Agreement relating to Data that you published prior to such termination will continue and survive.
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5.2 If you institute litigation against a Data Provider or anyone else who Receives the Data (including a cross-claim in a lawsuit) based on the Data, other than a claim asserting breach of this Agreement, then any rights previously granted to You to Receive, Use and Publish Data under this Agreement will terminate as of the date such litigation is filed.
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Section 6. Disclaimer of Warranties and Limitation of Liability
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6.1 EXCEPT AS EXPRESSLY SET FORTH IN THIS AGREEMENT, THE DATA (INCLUDING ENHANCED DATA) IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.
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6.2 NEITHER YOU NOR ANY DATA PROVIDERS SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OR DISTRIBUTION OF THE DATA OR THE EXERCISE OF ANY RIGHTS GRANTED HEREUNDER, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
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Section 7. Miscellaneous
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7.1 You agree that it is solely your responsibility to comply with all applicable laws with regard to Your Use or Publication of Data, including any applicable privacy, data protection, security and export laws. You agree to take reasonable steps to assist a Data Provider fulfilling responsibilities to comply with applicable laws with regard to Use or Publication of Data Received hereunder.
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7.2 You and Data Provider(s), collectively and individually, waive and/or agree not to assert, to the extent permitted by law, any moral rights you or they hold in Data.
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7.3 This Agreement confers no rights or remedies upon any person or entity other than the Parties and their respective heirs, executors, successors and assigns.
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7.4 The Data Provider(s) reserve no right or expectation of privacy, data protection or confidentiality in any Data that they Publish under this Agreement. If you choose to Publish Data under this Agreement, you similarly do so with no reservation or expectation of any rights of privacy or confidentiality in that Data.
|
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7.5 The Community Data License Agreement workgroup under The Linux Foundation is the steward of this Agreement (“Steward”). No one other than the Steward has the right to modify or publish new versions of this Agreement. Each version will be given a distinguishing version number. You may Use and Publish Data Received hereunder under the terms of the version of the Agreement under which You originally Received the Data, or under the terms of any subsequent version published by the Steward.
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dots.mocr LICENSE AGREEMENT
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+
Effective Date: [ August 8, 2025]
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| 339 |
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+
Copyright Holder: [Xingyin Information Technology (Shanghai) Co., Ltd]
|
| 341 |
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+
This License Agreement (“Agreement”) governs Your use, reproduction, modification, and distribution of dots.mocr (the "Model Materials"). This Agreement is designed to maximize the openness and use of the Model Materials while addressing the unique legal, ethical, and technical challenges posed by large language models.
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WHEREAS, Licensor has developed the dots.mocr document parsing model and intends to distribute the Model Materials under an open‑source framework;
|
| 345 |
+
WHEREAS, traditional open-source licenses (e.g., the MIT License) may not fully address the complexity inherent complexities of document parsing models, namely their multiple components (code, weights, training data), potential ethical risks, data‑governance issues, and intellectual‑property and liability questions regarding AI‑generated content;
|
| 346 |
+
WHEREAS, Licensor seeks to provide a legal framework that ensures maximum access to and use of the Model Materials while clearly defining the rights, obligations, and liabilities of Licensee;
|
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+
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THEREFORE, the parties agree that, subject to the MIT License, they shall be bound by the following terms and conditions:
|
| 349 |
+
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+
1. Definitions and Interpretation
|
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+
Purpose: To define key terms used in this Agreement, particularly "Model Materials," ensuring clarity of the license scope beyond traditional software code. To clarify the order of precedence between this Agreement and the MIT License to avoid conflict.
|
| 352 |
+
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1.1 “Licensor” shall mean the entity providing the Model Materials under this Agreement, namely [Xingyin Information Technology (Shanghai) Co., Ltd].
|
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+
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+
1.2 “Licensee” or "You" shall mean any individual or entity exercising permissions granted by this Agreement.
|
| 356 |
+
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1.3 “Model Materials” shall mean all materials provided by Licensor under this Agreement, including but not limited to:
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(a) one or more machine‑learning models, including architecture and trained parameters (i.e., model weights);
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| 359 |
+
(b) all associated preprocessing, training, inference, and fine‑tuning code;
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(c) training datasets and evaluation scripts (or their detailed descriptions and access mechanisms); and
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(d) any accompanying documentation, metadata, and tools.
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The above Model Materials shall be subject to the content published on the Licensor’s website or GitHub repository at https://github.com/rednote-hilab/dots.mocr.
|
| 363 |
+
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1.4 “Outputs” shall mean any content generated through the use of the Model Materials, such as text, tables, code,layout information, and formulas extracted from documents.
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+
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1.5 “MIT License” shall mean The MIT Open Source License published by the Massachusetts Institute of Technology.
|
| 367 |
+
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1.6 Priority of Agreement. In the event of any conflict or inconsistency between this Agreement and the MIT License, the terms of the MIT License shall prevail. However, if the terms of the MIT License are ambiguous or silent on a particular matter, the provisions of this Agreement shall apply and supplement the MIT License.
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2. Grant of Rights and Scope of Use
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Purpose: To grant broad, permissive rights to the Licensee for the Model Materials—including code, weights, data, and documentation—to ensure maximum openness and flexibility while clarifying the free use of model-generated content. Additionally, it clarifies the feasibility of transitioning from open-source to commercial‑use and the use of OpenAPI interfaces.
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2.1 Grant of Copyright License. Subject to Licensee's compliance with this Agreement, Licensor hereby grants Licensee a perpetual, worldwide, non‑exclusive, no-charge, royalty‑free copyright license to use (run or test), reproduce, modify, create derivative works of, merge, publish, distribute the Model Materials; sublicense and/or sell copies of the Model Materials or any derivative works thereof; and incorporate the unmodified or modified Model Materials into proprietary products or services, including for commercial purposes, software‑as‑a‑service (SaaS) offerings, or via OpenAPI or other interfaces.
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2.2 Fundamental Capabilities. The Model Materials only provide the fundamental model’s capabilities. Licensees may develop derivative AI applications or undertake task‑specific training thereon.
|
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+
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2.3 From Open Source to Commercial Use. The open-source release does not preclude Licensor’s commercial exploitation of the Model Materials, in whole or in part. Any such commercial use shall, at that time, be subject to license agreements between Licensor and applicable users.
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2.4 API‑Service Exception. Licensees who access the Model Materials through API calls or provide model services via API interfaces(without directly distributing model weights )shall not be subject to this Agreement unless otherwise expressly agreed. Instead, such use shall be governed by the API terms of use published by Licensor (if any).
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3. Acceptable Use Policy and Prohibited Uses
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+
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3.1 Responsible Use. Licensee must use the Model Materials in a responsible, ethical, and lawful manner, in compliance with all applicable laws, regulations, industry standards, and best practices.
|
| 385 |
+
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+
3.2 Enterprise On‑Premises Deployment. The Licensee may deploy the Model Materials in closed‑source, on‑premises enterprise environments.
|
| 387 |
+
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+
3.3 Prohibited Uses. Any breach of the prohibitions below will result in the automatic termination of all licenses granted under this Agreement. Licensee agrees not to use the Model Materials or any derivative works thereof, in connection with:
|
| 389 |
+
(a) Identification and Utilization of Illegal/Harmful Content:Includes identifying graphic/text materials used for counterfeiting certificates/invoices, perpetrating fraud, or launching cyberattacks; or processing images containing illegal content such as violence, criminal activities, disinformation, or child exploitation.
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| 390 |
+
(b) Privacy Infringement and Discriminatory Practices:Extracting personal sensitive information (e.g., ID numbers, medical records, biometric data) or protected characteristics (e.g., race, gender) from images without legal authorization or consent, for purposes of privacy violation, automated discriminatory decision-making, or harassment.
|
| 391 |
+
(c) Copyright Restrictions:Licensees shall not use the tool for unauthorized digitization of publications/document scanning or bulk scraping of content. Any use involving publications or other copyright-protected materials must first obtain relevant permissions.
|
| 392 |
+
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4. Intellectual Property Ownership and Contributions
|
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+
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4.1 Licensor's Copyright Reservation. Licensor reserves all right, title, and interest in and to the Model Materials (including the model architecture, parameters, code, and original training data), except as expressly licensed herein. The original copyright of the Model Materials belongs to the Licensor.
|
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+
4.2 Patent License. Subject to the terms and conditions of this Agreement, Licensor hereby grants Licensee a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Model Materials, where such license applies only to those patent claims licensable by the Lisensor that are necessarily infringed by its contribution(s).
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| 398 |
+
If Licensee institutes patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Model Materials constitute direct or contributory patent infringement, then any patent licenses granted under this License for the Model Materials shall terminate as of the date such litigation is asserted or filed.
|
| 399 |
+
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+
4.3 Outputs: The Outputs generated through the use of the Model Materials generally refer to text, tables, layouts, and other content extracted from documents or images. The extracted content itself does not generate new intellectual property rights, and all intellectual property remains with the original authors or copyright holders. The Licensee is responsible for due diligence regarding the legality of the Outputs, particularly where the content extracted by the OCR model may be substantially similar to existing copyrighted works, which could present intellectual property infringement risks. The Licensor assumes no liability for such infringements.
|
| 401 |
+
4.4 Trademarks. Nothing in this License permits Licensee to make use of Licensor’s trademarks, trade names, logos (e.g., “rednote,” “Xiaohongshu,” “dots.mocr”) or to otherwise suggest endorsement or misrepresent the relationship between the parties, unless Licensor’s prior written approval is granted.
|
| 402 |
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5. Data Governance, Privacy, and Security
|
| 404 |
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|
| 405 |
+
5.1 Data Quality and Bias. Licensee shall use training data from lawful sources and is encouraged to conduct due diligence before deploying the Model Materials and to take reasonable steps to mitigate any known biases in its training data or applications.
|
| 406 |
+
|
| 407 |
+
5.2 Privacy Protection.
|
| 408 |
+
(a) Sensitive‑Data Restrictions. It is prohibited to use the Model Materials to process,or extract infer sensitive personal data protected under specific laws (such as GDPR or HIPAA), particularly when dealing with documents containing personally identifiable information (such as ID numbers, health data, financial information, etc.), unless Licensee has obtained all necessary consents, lawful basis, or authorizations, and has implemented adequate anonymization, pseudonymization, or other privacy-enhancing technologies.
|
| 409 |
+
(b) Data Minimization and Purpose Limitation. The Licensee shall follow the principle of data minimization when using the OCR Model, processing only the user data necessary for specific, explicit, and lawful purposes. Specifically, the OCR Model should avoid processing unnecessary sensitive data and ensure compliance with applicable privacy protection laws during data handling.
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openai/whisper-large-v3-turbo
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pyannote/speaker-diarization-community-1
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facebook/sam2.1-hiera-large
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README.md
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|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
license_name: interfaze-open
|
| 4 |
+
license_link: https://huggingface.co/interfaze-ai/interfaze-1-lite/blob/main/LICENSE
|
| 5 |
+
library_name: transformers
|
| 6 |
+
pipeline_tag: image-text-to-text
|
| 7 |
+
language:
|
| 8 |
+
- en
|
| 9 |
+
- zh
|
| 10 |
+
- es
|
| 11 |
+
- fr
|
| 12 |
+
- de
|
| 13 |
+
- it
|
| 14 |
+
- pt
|
| 15 |
+
- ja
|
| 16 |
+
- ko
|
| 17 |
+
- ar
|
| 18 |
+
- hi
|
| 19 |
+
- bn
|
| 20 |
+
- id
|
| 21 |
+
- sw
|
| 22 |
+
- yo
|
| 23 |
+
tags:
|
| 24 |
+
- vlm
|
| 25 |
+
- any-to-text
|
| 26 |
+
- audio-text-to-text
|
| 27 |
+
- multimodal
|
| 28 |
+
- multilingual
|
| 29 |
+
- mixture-of-architectures
|
| 30 |
+
- ocr
|
| 31 |
+
- document-understanding
|
| 32 |
+
- speech-recognition
|
| 33 |
+
- speaker-diarization
|
| 34 |
+
- object-detection
|
| 35 |
+
- gui-grounding
|
| 36 |
+
- image-segmentation
|
| 37 |
+
- translation
|
| 38 |
+
- time-series-forecasting
|
| 39 |
+
- guardrails
|
| 40 |
+
- structured-output
|
| 41 |
+
- agent
|
| 42 |
+
---
|
| 43 |
+
|
| 44 |
+

|
| 45 |
+
|
| 46 |
+
# Interfaze 1.1 Lite
|
| 47 |
+
|
| 48 |
+
[Website](https://interfaze.ai) · [Docs](https://interfaze.ai/docs/models/interfaze-1.1-lite) · [Run tasks](https://interfaze.ai/docs/run-tasks) · [Blog](https://interfaze.ai/blog/introducing-interfaze-1-1-lite) · [GitHub](https://github.com/InterfazeAI/interfaze-1-lite)
|
| 49 |
+
|
| 50 |
+
## Introduction
|
| 51 |
+
|
| 52 |
+
Interfaze 1.1 Lite is a mixture-of-architectures (MoA) model for developer workloads: reading documents, transcribing speech, locating objects and interface elements, and answering over all of it with structured output.
|
| 53 |
+
|
| 54 |
+
A single vision-language reasoning core works alongside a set of specialist architectures, each built for one kind of perception. The core reads the request, decides which specialists to run, and composes the answer from what they return. The whole model runs on one 80 GB GPU with no external services.
|
| 55 |
+
|
| 56 |
+
### Key features
|
| 57 |
+
|
| 58 |
+
- **Document understanding.** Text, reading order, tables and layout from images, PDFs (up to 50 pages a call) and Word files, with a box and confidence for every line and word.
|
| 59 |
+
- **Speech.** Transcription with timestamps and speaker diarization. Long recordings are cut at pauses and decoded in batches: a 95-minute recording transcribes in about 90 seconds.
|
| 60 |
+
- **Visual grounding.** Open-vocabulary object detection with outlines, and GUI element grounding for computer-use agents.
|
| 61 |
+
- **Structured output.** Responses constrained to a JSON schema you supply, reading from any mix of text, images, documents and audio.
|
| 62 |
+
- **Translation, forecasting and guardrails.** Translation across 160+ languages, time-series forecasting from CSV or JSON, and safety checks on text and images.
|
| 63 |
+
- **Multilingual reasoning.** Science, math, SQL and general knowledge across 14+ languages, with a 131k-token context.
|
| 64 |
+
- **Self-contained.** One repository, one GPU, runs offline.
|
| 65 |
+
|
| 66 |
+
### Model architecture
|
| 67 |
+
|
| 68 |
+
Interfaze 1.1 Lite is not one network. It is a reasoning core plus specialists, each chosen for the task it is best at, connected by tool calls.
|
| 69 |
+
|
| 70 |
+
| Component | Architecture | Role |
|
| 71 |
+
| --- | --- | --- |
|
| 72 |
+
| Reasoning core | Hybrid-attention decoder with a vision encoder, FP8, 131k context | Plans, calls specialists, grounds boxes on a 0–1000 grid, writes the answer |
|
| 73 |
+
| Document reader | Vision-language model trained for page reading | Text, reading order, tables and markdown |
|
| 74 |
+
| Line geometry | Text detector and recognizer | Every line's box and confidence |
|
| 75 |
+
| Layout | Document layout detector | Titles, paragraphs, tables and figures, with boxes |
|
| 76 |
+
| Speech | Encoder-decoder speech recognizer | Transcripts and timestamps in 99 languages |
|
| 77 |
+
| Diarization | Speaker segmentation and embedding pipeline | Who spoke when |
|
| 78 |
+
| Segmentation | Promptable segmentation model | Object outlines and masks |
|
| 79 |
+
| Forecasting | Time-series foundation model | Future values of a numeric series |
|
| 80 |
+
| Guardrails | Safety classifier | Text safety in 119 languages, reported as S1–S14 codes (S6 and S14 never) |
|
| 81 |
+
|
| 82 |
+
How the parts combine:
|
| 83 |
+
|
| 84 |
+
- **OCR is two views of one page, stitched.** The document reader supplies the text, and the line detector supplies the geometry. Each detected line takes the reader's words for it, so boxes are exact and text is complete.
|
| 85 |
+
- **Speakers are attributed per word,** by the largest overlap with each speaker's turns, then grouped into chunks.
|
| 86 |
+
- **Detection and GUI grounding run on the reasoning core,** which returns boxes on a 0–1000 grid. Outlines come from the segmentation model.
|
| 87 |
+
- **A run task skips planning.** Naming one capability (`task="ocr"`, `"speech_to_text"`, …) runs that specialist directly and returns its raw result.
|
| 88 |
+
|
| 89 |
+
## Performance
|
| 90 |
+
|
| 91 |
+
| Benchmark | What it measures | **Interfaze 1.1 Lite** | Interfaze | GPT-5.4-Mini | Claude-Sonnet-4.6 | Gemini-3-Flash | Grok-4.3 |
|
| 92 |
+
| --- | --- | --- | --- | --- | --- | --- | --- |
|
| 93 |
+
| GPQA Diamond | Graduate-level science | **85.9** | 92.4 | 82.8 | 89.9 | 88.5 | 73.6 |
|
| 94 |
+
| MMMLU | Knowledge in 14 languages | **87.8** | 90.9 | 75.3 | 84.9 | 88.7 | 89.7 |
|
| 95 |
+
| MMMU-Pro | Multimodal reasoning | **73.2** | 71.1 | 40.4 | 46.3 | 67.6 | 68.7 |
|
| 96 |
+
| olmOCR-Bench | Document OCR | **83.8** | 85.7 | 80.1 | 73.9 | 75.3 | 81.9 |
|
| 97 |
+
| OCRBench v2 (English) | Text in images | **60.9** | 70.7 | 52.7 | 54.7 | 55.8 | 54.7 |
|
| 98 |
+
| RefCOCO (Acc@0.5) | Referring-expression grounding | **83.8** | 82.1 | – | – | – | – |
|
| 99 |
+
| VoxPopuli-Cleaned (WER ↓) | Speech recognition | **3.01** | 2.4 | – | – | 4.0 | – |
|
| 100 |
+
| SOB (value accuracy) | Structured output from text, images and audio | **81.5** | 80.5 | – | 77.9 | 77.3* | – |
|
| 101 |
+
| Spider 2.0-Lite (SQLite) | Text-to-SQL | **48.9** | 52.9 | 26.7 | 49.6 | 45.2 | 45.9 |
|
| 102 |
+
|
| 103 |
+
These are Interfaze 1 Lite's scores: 1.1 changes the document reader and the guard, and its own scores will replace them once measured. Interfaze 1 Lite was scored by us with each benchmark's official scorer. Every other score is from the [Interfaze leaderboard](https://interfaze.ai/leaderboards). Higher is better except WER. \*Gemini-3-Flash-Preview.
|
| 104 |
+
|
| 105 |
+
### The benchmarks
|
| 106 |
+
|
| 107 |
+
- **GPQA Diamond** (all 198 questions). Graduate-level physics, chemistry and biology multiple choice, written to resist search. Lite scores 85.9, ahead of GPT-5.4-Mini and Grok-4.3, and strongest in physics.
|
| 108 |
+
- **MMMLU** (MMMLU-lite, all 19,950: 1,425 questions in each of 14 languages). MMLU translated by professional translators. Lite averages 87.8, ahead of Claude-Sonnet-4.6. The low-resource languages (Swahili, Yoruba, Bengali) are where it loses most.
|
| 109 |
+
- **MMMU-Pro** (all 1,730 questions per track, mean of standard and vision tracks). College-level questions that need the image, including a track where the question itself is inside the picture. Lite leads the board at 73.2.
|
| 110 |
+
- **olmOCR-Bench** (all 1,403 PDFs). Unit tests on real documents: arXiv math, old scans, tables, headers and footers, multi-column pages and long tiny text. Lite scores 83.8, with 91.9 on long tiny text and 88.8 on tables.
|
| 111 |
+
- **OCRBench v2, English** (all 7,400 English items). Recognition, referring, spotting, extraction, parsing, calculation, understanding and reasoning over text in images. Lite scores 60.9; its text spotting leads every general-purpose model on the board.
|
| 112 |
+
- **RefCOCO** (Acc@0.5). Find the one object a sentence describes ("the man in red on the left"). Lite's answer box scores 83.8, first on the board.
|
| 113 |
+
- **VoxPopuli-Cleaned** (all 628 clips). European Parliament speech, scored by word error rate after the benchmark's standard text normalisation. Lite's WER is 3.01%.
|
| 114 |
+
- **SOB, the Structured Output Benchmark** (all 5,324 records). Extract values into a JSON schema from text, images and audio; value accuracy counts exact field matches. Lite scores 81.5, second of 30 models, with 97% of responses valid JSON.
|
| 115 |
+
- **Spider 2.0-Lite** (the 135 SQLite tasks). Enterprise text-to-SQL over real schemas, scored by executing the query. Lite solves 48.9%, between the Claude models and Gemini-3-Flash.
|
| 116 |
+
|
| 117 |
+
## Quickstart
|
| 118 |
+
|
| 119 |
+
To run Lite as an OpenAI-compatible server with Docker, see [GitHub](https://github.com/InterfazeAI/interfaze-1-lite).
|
| 120 |
+
|
| 121 |
+
### Requirements
|
| 122 |
+
|
| 123 |
+
- One 80 GB GPU with compute capability 8.9 or newer (Hopper, Ada). Tested on an H100.
|
| 124 |
+
- `ffmpeg` on the system, to decode audio.
|
| 125 |
+
|
| 126 |
+
```bash
|
| 127 |
+
hf download interfaze-ai/interfaze-1-lite requirements.txt --local-dir .
|
| 128 |
+
pip install -r requirements.txt
|
| 129 |
+
```
|
| 130 |
+
|
| 131 |
+
`flash-linear-attention` matters: without it, transformers runs the linear-attention layers as a plain PyTorch loop, and generation slows to minutes per page.
|
| 132 |
+
|
| 133 |
+
### Using 🤗 Transformers
|
| 134 |
+
|
| 135 |
+
```python
|
| 136 |
+
from transformers import AutoModel
|
| 137 |
+
|
| 138 |
+
model = AutoModel.from_pretrained("interfaze-ai/interfaze-1-lite", trust_remote_code=True)
|
| 139 |
+
|
| 140 |
+
answer = model.chat(
|
| 141 |
+
[{"role": "user", "content": "What is the total, and which item is highlighted?"}],
|
| 142 |
+
files=["receipt.jpg"],
|
| 143 |
+
)
|
| 144 |
+
print(answer["content"]) # the answer
|
| 145 |
+
print(answer["precontext"]) # each specialist's full result: [{"name", "result"}]
|
| 146 |
+
```
|
| 147 |
+
|
| 148 |
+
`trust_remote_code=True` is required: the model's routing and specialists are defined in this repository. Components load on first use, so a caller that only runs OCR never loads the others.
|
| 149 |
+
|
| 150 |
+
Each capability is also a method of its own:
|
| 151 |
+
|
| 152 |
+
| Method | Returns |
|
| 153 |
+
| --- | --- |
|
| 154 |
+
| `chat(messages, files=[...])` | `content` (the answer) and `precontext[]` (each specialist's result) |
|
| 155 |
+
| `ocr(source, page_range=None, return_markdown=False)` | `text`, `sections[]` (one per page, with `lines[].words[]`, four-corner `bounds`, `average_confidence`), `width`, `height` |
|
| 156 |
+
| `transcribe(audio, by_speaker=False, language="auto", word_timestamps=False)` | `text` and `chunks[]` with timestamps; each chunk carries a speaker with `by_speaker` |
|
| 157 |
+
| `detect(image, prompts, return_masks=False)` | `detected_objects[]` with `label`, `bounds` and `polygon` (and `mask` when asked) |
|
| 158 |
+
| `ground(image, prompts=None)` | `gui_elements[]` with `type` and `bounds`; with no prompts, every interactive element |
|
| 159 |
+
| `forecast(y, horizon)` | the next `horizon` points of a `{date: value}` series `y`: `timestamp[]` and `value[]` |
|
| 160 |
+
| `moderate(text)` | `output`: `"safe"`, or `"unsafe"` and the violated categories (S1–S14) |
|
| 161 |
+
|
| 162 |
+
Coordinates are pixels of the input: an image's own size, or a PDF page at 144 DPI.
|
| 163 |
+
|
| 164 |
+
### Using the Interfaze API
|
| 165 |
+
|
| 166 |
+
The same model is served behind an OpenAI-compatible API. Get your API key from the [Interfaze dashboard](https://interfaze.ai/dashboard/quick-start), then set `model` to `interfaze-1-lite`:
|
| 167 |
+
|
| 168 |
+
```ts
|
| 169 |
+
import { Interfaze } from "interfaze";
|
| 170 |
+
|
| 171 |
+
const interfaze = new Interfaze(); // reads INTERFAZE_API_KEY
|
| 172 |
+
|
| 173 |
+
const res = await interfaze.chat.completions.create({
|
| 174 |
+
model: "interfaze-1-lite",
|
| 175 |
+
messages: [{ role: "user", content: "Summarise the attached contract in three bullets." }],
|
| 176 |
+
});
|
| 177 |
+
```
|
| 178 |
+
|
| 179 |
+
## Examples
|
| 180 |
+
|
| 181 |
+
### Read a document, with boxes
|
| 182 |
+
|
| 183 |
+
```python
|
| 184 |
+
doc = model.ocr("invoice.pdf", page_range=[1, 2])
|
| 185 |
+
|
| 186 |
+
print(doc["text"])
|
| 187 |
+
for page in doc["sections"]:
|
| 188 |
+
for line in page["lines"]:
|
| 189 |
+
box = line["bounds"]
|
| 190 |
+
print(page["page"], line["text"], box["top_left"], box["bottom_right"])
|
| 191 |
+
```
|
| 192 |
+
|
| 193 |
+
### Transcribe a call and split it by speaker
|
| 194 |
+
|
| 195 |
+
```python
|
| 196 |
+
call = model.transcribe("support_call.mp3", by_speaker=True)
|
| 197 |
+
|
| 198 |
+
for chunk in call["chunks"]:
|
| 199 |
+
start, end = chunk["timestamp"]
|
| 200 |
+
print(f"[{start:6.1f}–{end:6.1f}] {chunk['speaker']}: {chunk['text']}")
|
| 201 |
+
```
|
| 202 |
+
|
| 203 |
+
### Detect objects and outline them
|
| 204 |
+
|
| 205 |
+
```python
|
| 206 |
+
found = model.detect("street.jpg", ["car", "bicycle", "traffic light"])
|
| 207 |
+
|
| 208 |
+
for obj in found["detected_objects"]:
|
| 209 |
+
print(obj["label"], obj["bounds"]["top_left"], obj["bounds"]["bottom_right"], len(obj.get("polygon", [])))
|
| 210 |
+
```
|
| 211 |
+
|
| 212 |
+
### Ground interface elements for an agent
|
| 213 |
+
|
| 214 |
+
```python
|
| 215 |
+
screen = model.ground("checkout.png", ["Add to cart button", "search box"])
|
| 216 |
+
|
| 217 |
+
for element in screen["gui_elements"]:
|
| 218 |
+
b = element["bounds"]
|
| 219 |
+
x = (b["top_left"]["x"] + b["bottom_right"]["x"]) / 2
|
| 220 |
+
y = (b["top_left"]["y"] + b["bottom_right"]["y"]) / 2
|
| 221 |
+
print(element["type"], "click at", (x, y))
|
| 222 |
+
```
|
| 223 |
+
|
| 224 |
+
### Forecast a time series
|
| 225 |
+
|
| 226 |
+
```python
|
| 227 |
+
weekly_sales = {
|
| 228 |
+
"2024-01-01": 412, "2024-01-08": 387, "2024-01-15": 524, "2024-01-22": 461,
|
| 229 |
+
"2024-01-29": 398, "2024-02-05": 542, "2024-02-12": 475, "2024-02-19": 401,
|
| 230 |
+
}
|
| 231 |
+
nxt = model.forecast(weekly_sales, horizon=4)
|
| 232 |
+
print(list(zip(nxt["timestamp"], nxt["value"])))
|
| 233 |
+
```
|
| 234 |
+
|
| 235 |
+
### Check a message before it reaches your app
|
| 236 |
+
|
| 237 |
+
```python
|
| 238 |
+
verdict = model.moderate("How do I make a weapon at home?")
|
| 239 |
+
print(verdict["output"]) # "safe", or "unsafe" and the violated codes on the next line
|
| 240 |
+
```
|
| 241 |
+
|
| 242 |
+
### Extract structured data through the API
|
| 243 |
+
|
| 244 |
+
```python
|
| 245 |
+
from openai import OpenAI
|
| 246 |
+
|
| 247 |
+
client = OpenAI(base_url="https://api.interfaze.ai/v1", api_key="sk_...")
|
| 248 |
+
|
| 249 |
+
res = client.chat.completions.create(
|
| 250 |
+
model="interfaze-1-lite",
|
| 251 |
+
messages=[{"role": "user", "content": [
|
| 252 |
+
{"type": "text", "text": "Extract the vendor, date and total."},
|
| 253 |
+
{"type": "image_url", "image_url": {"url": "https://example.com/receipt.jpg"}},
|
| 254 |
+
]}],
|
| 255 |
+
response_format={"type": "json_schema", "json_schema": {"name": "receipt", "schema": {
|
| 256 |
+
"type": "object",
|
| 257 |
+
"properties": {"vendor": {"type": "string"}, "date": {"type": "string"}, "total": {"type": "number"}},
|
| 258 |
+
"required": ["vendor", "date", "total"],
|
| 259 |
+
}}},
|
| 260 |
+
)
|
| 261 |
+
print(res.choices[0].message.content)
|
| 262 |
+
```
|
| 263 |
+
|
| 264 |
+
## Limitations
|
| 265 |
+
|
| 266 |
+
- Generation through transformers is correct but slower than a serving engine with paged attention and batching. For throughput, use the Interfaze API or serve the model with a batching engine.
|
| 267 |
+
- `chat` does not take a response schema; ask for JSON in the prompt, or use the API's `response_format`.
|
| 268 |
+
- A dense document page can take a minute or more to read on the transformers path.
|
| 269 |
+
- Memory: processing large PDFs can spike in significant use of CUDA memory.
|
| 270 |
+
|
| 271 |
+
## Thank You
|
| 272 |
+
|
| 273 |
+
We are grateful to the teams behind the models and open-source projects whose work we use and build upon.
|
| 274 |
+
|
| 275 |
+
### Models
|
| 276 |
+
|
| 277 |
+
1. [Qwen3.8 27B](https://huggingface.co/Qwen/Qwen3.8-27B-FP8)
|
| 278 |
+
2. [dots.mocr](https://huggingface.co/dots-studio/dots.mocr)
|
| 279 |
+
3. [Whisper large-v3 turbo](https://huggingface.co/openai/whisper-large-v3-turbo)
|
| 280 |
+
4. [speaker-diarization-community-1](https://huggingface.co/pyannote/speaker-diarization-community-1)
|
| 281 |
+
5. [SAM 2.1](https://huggingface.co/facebook/sam2.1-hiera-large)
|
| 282 |
+
6. [Qwen3Guard](https://huggingface.co/Qwen/Qwen3Guard-Gen-0.6B)
|
| 283 |
+
7. [TimesFM 2.5](https://huggingface.co/google/timesfm-2.5-200m-pytorch)
|
| 284 |
+
8. [PP-OCRv5 Detection](https://huggingface.co/PaddlePaddle/PP-OCRv5_server_det)
|
| 285 |
+
9. [PP-DocLayout](https://huggingface.co/PaddlePaddle/PP-DocLayout_plus-L)
|
| 286 |
+
|
| 287 |
+
### Open-Source Projects
|
| 288 |
+
|
| 289 |
+
Special thanks to the open-source projects that make these models possible:
|
| 290 |
+
|
| 291 |
+
1. [vLLM](https://github.com/vllm-project/vllm)
|
| 292 |
+
2. [Hugging Face Transformers](https://github.com/huggingface/transformers)
|
| 293 |
+
3. [pyannote.audio](https://github.com/pyannote/pyannote-audio)
|
| 294 |
+
4. [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
|
| 295 |
+
5. [SAM 2](https://github.com/facebookresearch/sam2)
|
| 296 |
+
6. [TimesFM](https://github.com/google-research/timesfm)
|
agent.py
ADDED
|
@@ -0,0 +1,223 @@
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
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|
|
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|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""The tool loop the transformers model runs for `chat()`, free of torch so it can be tested.
|
| 2 |
+
|
| 3 |
+
The service runs the same loop over vLLM (app.py): the brain sees the caller's files by
|
| 4 |
+
reference, calls tools, reads what they return -- and, once a tool has read an image, the
|
| 5 |
+
image itself -- then answers. Both brief the brain with the same prompts.
|
| 6 |
+
"""
|
| 7 |
+
|
| 8 |
+
from __future__ import annotations
|
| 9 |
+
|
| 10 |
+
import json
|
| 11 |
+
import os
|
| 12 |
+
import re
|
| 13 |
+
from collections.abc import Callable, Sequence
|
| 14 |
+
from typing import Any
|
| 15 |
+
|
| 16 |
+
try: # the interfaze_lite package, and the HF repo as trust_remote_code imports it
|
| 17 |
+
from .prompts import NUDGE, SYSTEM_PROMPT
|
| 18 |
+
except ImportError: # the files run flat, from a checkout
|
| 19 |
+
from prompts import NUDGE, SYSTEM_PROMPT # type: ignore
|
| 20 |
+
|
| 21 |
+
_FILE = {"type": "string", "description": "The file's reference id from All File References, e.g. ref-0."}
|
| 22 |
+
|
| 23 |
+
TOOLS: list[dict[str, Any]] = [
|
| 24 |
+
{
|
| 25 |
+
"type": "function",
|
| 26 |
+
"function": {
|
| 27 |
+
"name": "ocr",
|
| 28 |
+
"description": "Read an image, PDF or Word document the user supplied: its full text, "
|
| 29 |
+
"with every line's position.",
|
| 30 |
+
"parameters": {
|
| 31 |
+
"type": "object",
|
| 32 |
+
"properties": {
|
| 33 |
+
"file_ref_id": _FILE,
|
| 34 |
+
"page_range": {
|
| 35 |
+
"type": "array",
|
| 36 |
+
"items": {"type": "integer"},
|
| 37 |
+
"description": "First and last page to read, 1-based, for a long PDF.",
|
| 38 |
+
},
|
| 39 |
+
},
|
| 40 |
+
"required": ["file_ref_id"],
|
| 41 |
+
},
|
| 42 |
+
},
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"type": "function",
|
| 46 |
+
"function": {
|
| 47 |
+
"name": "stt",
|
| 48 |
+
"description": "Transcribe an audio file, optionally labelling who said what.",
|
| 49 |
+
"parameters": {
|
| 50 |
+
"type": "object",
|
| 51 |
+
"properties": {
|
| 52 |
+
"file_ref_id": _FILE,
|
| 53 |
+
"by_speaker": {"type": "boolean", "description": "Split the transcript by speaker."},
|
| 54 |
+
},
|
| 55 |
+
"required": ["file_ref_id"],
|
| 56 |
+
},
|
| 57 |
+
},
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"type": "function",
|
| 61 |
+
"function": {
|
| 62 |
+
"name": "object_detection",
|
| 63 |
+
"description": "Find objects in a photo: a box and label for each.",
|
| 64 |
+
"parameters": {
|
| 65 |
+
"type": "object",
|
| 66 |
+
"properties": {
|
| 67 |
+
"file_ref_id": _FILE,
|
| 68 |
+
"prompts": {
|
| 69 |
+
"type": "array",
|
| 70 |
+
"items": {"type": "string"},
|
| 71 |
+
"description": "What to find, as simple noun phrases, e.g. ['person', 'car'].",
|
| 72 |
+
},
|
| 73 |
+
},
|
| 74 |
+
"required": ["file_ref_id", "prompts"],
|
| 75 |
+
},
|
| 76 |
+
},
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"type": "function",
|
| 80 |
+
"function": {
|
| 81 |
+
"name": "gui_detection",
|
| 82 |
+
"description": "Find interactive elements in a UI screenshot -- buttons, inputs, links -- "
|
| 83 |
+
"each named by its visible label.",
|
| 84 |
+
"parameters": {
|
| 85 |
+
"type": "object",
|
| 86 |
+
"properties": {
|
| 87 |
+
"file_ref_id": _FILE,
|
| 88 |
+
"prompts": {
|
| 89 |
+
"type": "array",
|
| 90 |
+
"items": {"type": "string"},
|
| 91 |
+
"description": "Elements to find; leave out for every interactive element.",
|
| 92 |
+
},
|
| 93 |
+
},
|
| 94 |
+
"required": ["file_ref_id"],
|
| 95 |
+
},
|
| 96 |
+
},
|
| 97 |
+
},
|
| 98 |
+
]
|
| 99 |
+
|
| 100 |
+
# The model reads this much of a tool result; the caller gets all of it.
|
| 101 |
+
MAX_CONTEXT_CHARS = 120_000
|
| 102 |
+
|
| 103 |
+
_TOOL_CALL = re.compile(r"<tool_call>(.*?)</tool_call>", re.S)
|
| 104 |
+
_FUNCTION = re.compile(r"<function=([^>\s]+)>(.*?)</function>", re.S)
|
| 105 |
+
_PARAMETER = re.compile(r"<parameter=([^>\s]+)>(.*?)</parameter>", re.S)
|
| 106 |
+
|
| 107 |
+
|
| 108 |
+
def tool_calls(text: str) -> list[dict[str, Any]]:
|
| 109 |
+
"""The tool calls in a brain turn, in either form the chat template produces.
|
| 110 |
+
|
| 111 |
+
`<function=ocr><parameter=file_ref_id>ref-0</parameter></function>` is what this
|
| 112 |
+
brain's template emits; `{"name": ..., "arguments": {...}}` is the older JSON form.
|
| 113 |
+
Both sit inside <tool_call> tags. A parameter that reads as JSON -- a list, a number
|
| 114 |
+
-- is taken as that value.
|
| 115 |
+
"""
|
| 116 |
+
calls = []
|
| 117 |
+
for body in _TOOL_CALL.findall(text or ""):
|
| 118 |
+
function = _FUNCTION.search(body)
|
| 119 |
+
if function:
|
| 120 |
+
arguments = {}
|
| 121 |
+
for name, value in _PARAMETER.findall(function.group(2)):
|
| 122 |
+
value = value.strip()
|
| 123 |
+
try:
|
| 124 |
+
arguments[name] = json.loads(value)
|
| 125 |
+
except json.JSONDecodeError:
|
| 126 |
+
arguments[name] = value
|
| 127 |
+
calls.append({"name": function.group(1), "arguments": arguments})
|
| 128 |
+
continue
|
| 129 |
+
try:
|
| 130 |
+
obj = json.loads(body.strip())
|
| 131 |
+
arguments = obj.get("arguments") or {}
|
| 132 |
+
if isinstance(arguments, str):
|
| 133 |
+
arguments = json.loads(arguments)
|
| 134 |
+
calls.append({"name": obj["name"], "arguments": arguments})
|
| 135 |
+
except (json.JSONDecodeError, KeyError, TypeError, AttributeError):
|
| 136 |
+
continue
|
| 137 |
+
return calls
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
def visible(text: str) -> str:
|
| 141 |
+
"""A turn's answer, without any tool-call markup or thinking."""
|
| 142 |
+
text = _TOOL_CALL.sub("", text or "")
|
| 143 |
+
return re.sub(r"<think>.*?</think>", "", text, flags=re.S).strip()
|
| 144 |
+
|
| 145 |
+
|
| 146 |
+
def run(
|
| 147 |
+
messages: list[dict],
|
| 148 |
+
files: Sequence[str],
|
| 149 |
+
*,
|
| 150 |
+
generate: Callable[..., str],
|
| 151 |
+
tools: dict[str, Callable[[str, dict], tuple[dict, dict]]],
|
| 152 |
+
show_images: Callable[[list[dict], dict[str, str]], list[dict]],
|
| 153 |
+
max_tool_steps: int = 6,
|
| 154 |
+
) -> dict[str, Any]:
|
| 155 |
+
"""Answer `messages`, calling `tools` on `files` as the brain asks.
|
| 156 |
+
|
| 157 |
+
`generate(convo, tools=..., keep_markup=...)` is one brain turn. Each tool takes the
|
| 158 |
+
file and the call's arguments and returns what the caller gets and what the model
|
| 159 |
+
reads. Returns `{"content", "precontext": [{name, result}]}`.
|
| 160 |
+
"""
|
| 161 |
+
refs = {f"ref-{i}": str(f) for i, f in enumerate(files)}
|
| 162 |
+
system = SYSTEM_PROMPT
|
| 163 |
+
if refs:
|
| 164 |
+
system += "\n\nAll File References:\n" + "\n".join(
|
| 165 |
+
f"- {ref}: {os.path.basename(path.split('?')[0]) or path}" for ref, path in refs.items()
|
| 166 |
+
)
|
| 167 |
+
convo = [{"role": "system", "content": system}, *messages]
|
| 168 |
+
precontext: list[dict[str, Any]] = []
|
| 169 |
+
used = nudged = shown = False
|
| 170 |
+
|
| 171 |
+
for _ in range(max_tool_steps):
|
| 172 |
+
reply = generate(convo, tools=TOOLS if refs else None, keep_markup=True)
|
| 173 |
+
calls = tool_calls(reply)
|
| 174 |
+
if not calls:
|
| 175 |
+
# Attached but unread: an answer by eye invents the text. One reminder, as in the service.
|
| 176 |
+
if refs and not used and not nudged:
|
| 177 |
+
nudged = True
|
| 178 |
+
convo = [*convo, {"role": "user", "content": NUDGE}]
|
| 179 |
+
continue
|
| 180 |
+
return {"content": visible(reply), "precontext": precontext}
|
| 181 |
+
|
| 182 |
+
convo.append(
|
| 183 |
+
{
|
| 184 |
+
"role": "assistant",
|
| 185 |
+
"content": "",
|
| 186 |
+
"tool_calls": [
|
| 187 |
+
{"type": "function", "function": {"name": c["name"], "arguments": c["arguments"]}}
|
| 188 |
+
for c in calls
|
| 189 |
+
],
|
| 190 |
+
}
|
| 191 |
+
)
|
| 192 |
+
for call in calls:
|
| 193 |
+
full, seen = _dispatch(call, refs, tools)
|
| 194 |
+
used = True # A failed call too: it goes back to be corrected, not nudged, as in the service.
|
| 195 |
+
if "error" not in seen:
|
| 196 |
+
precontext.append({"name": call["name"], "result": full})
|
| 197 |
+
convo.append({"role": "tool", "content": json.dumps(seen, ensure_ascii=False)})
|
| 198 |
+
if precontext and not shown:
|
| 199 |
+
convo, shown = show_images(convo, refs), True
|
| 200 |
+
|
| 201 |
+
return {"content": visible(generate(convo, tools=None, keep_markup=False)), "precontext": precontext}
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
def _dispatch(call: dict, refs: dict[str, str], tools: dict) -> tuple[dict, dict]:
|
| 205 |
+
tool = tools.get(call["name"])
|
| 206 |
+
if tool is None:
|
| 207 |
+
error = {"error": f"unknown tool {call['name']!r}; available: {sorted(tools)}"}
|
| 208 |
+
return error, error
|
| 209 |
+
ref = str(call["arguments"].get("file_ref_id") or "")
|
| 210 |
+
# Only the caller's own files: a made-up URL is refused, never fetched.
|
| 211 |
+
path = refs.get(ref) or next((p for p in refs.values() if p == ref), None)
|
| 212 |
+
if path is None:
|
| 213 |
+
error = {"error": f"unknown file reference {ref!r}; use one of {sorted(refs)}"}
|
| 214 |
+
return error, error
|
| 215 |
+
try:
|
| 216 |
+
full, seen = tool(path, call["arguments"])
|
| 217 |
+
except Exception as exc:
|
| 218 |
+
error = {"error": f"{call['name']} failed: {type(exc).__name__}: {exc}"}
|
| 219 |
+
return error, error
|
| 220 |
+
text = seen.get("extracted_text")
|
| 221 |
+
if isinstance(text, str) and len(text) > MAX_CONTEXT_CHARS:
|
| 222 |
+
seen = {**seen, "extracted_text": text[:MAX_CONTEXT_CHARS], "truncated": True}
|
| 223 |
+
return full, seen
|
asr_fallback/.interfaze-sha-marker
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
release-2
|
asr_fallback/added_tokens.json
ADDED
|
@@ -0,0 +1,1612 @@
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|
| 1 |
+
{
|
| 2 |
+
"<|0.00|>": 50365,
|
| 3 |
+
"<|0.02|>": 50366,
|
| 4 |
+
"<|0.04|>": 50367,
|
| 5 |
+
"<|0.06|>": 50368,
|
| 6 |
+
"<|0.08|>": 50369,
|
| 7 |
+
"<|0.10|>": 50370,
|
| 8 |
+
"<|0.12|>": 50371,
|
| 9 |
+
"<|0.14|>": 50372,
|
| 10 |
+
"<|0.16|>": 50373,
|
| 11 |
+
"<|0.18|>": 50374,
|
| 12 |
+
"<|0.20|>": 50375,
|
| 13 |
+
"<|0.22|>": 50376,
|
| 14 |
+
"<|0.24|>": 50377,
|
| 15 |
+
"<|0.26|>": 50378,
|
| 16 |
+
"<|0.28|>": 50379,
|
| 17 |
+
"<|0.30|>": 50380,
|
| 18 |
+
"<|0.32|>": 50381,
|
| 19 |
+
"<|0.34|>": 50382,
|
| 20 |
+
"<|0.36|>": 50383,
|
| 21 |
+
"<|0.38|>": 50384,
|
| 22 |
+
"<|0.40|>": 50385,
|
| 23 |
+
"<|0.42|>": 50386,
|
| 24 |
+
"<|0.44|>": 50387,
|
| 25 |
+
"<|0.46|>": 50388,
|
| 26 |
+
"<|0.48|>": 50389,
|
| 27 |
+
"<|0.50|>": 50390,
|
| 28 |
+
"<|0.52|>": 50391,
|
| 29 |
+
"<|0.54|>": 50392,
|
| 30 |
+
"<|0.56|>": 50393,
|
| 31 |
+
"<|0.58|>": 50394,
|
| 32 |
+
"<|0.60|>": 50395,
|
| 33 |
+
"<|0.62|>": 50396,
|
| 34 |
+
"<|0.64|>": 50397,
|
| 35 |
+
"<|0.66|>": 50398,
|
| 36 |
+
"<|0.68|>": 50399,
|
| 37 |
+
"<|0.70|>": 50400,
|
| 38 |
+
"<|0.72|>": 50401,
|
| 39 |
+
"<|0.74|>": 50402,
|
| 40 |
+
"<|0.76|>": 50403,
|
| 41 |
+
"<|0.78|>": 50404,
|
| 42 |
+
"<|0.80|>": 50405,
|
| 43 |
+
"<|0.82|>": 50406,
|
| 44 |
+
"<|0.84|>": 50407,
|
| 45 |
+
"<|0.86|>": 50408,
|
| 46 |
+
"<|0.88|>": 50409,
|
| 47 |
+
"<|0.90|>": 50410,
|
| 48 |
+
"<|0.92|>": 50411,
|
| 49 |
+
"<|0.94|>": 50412,
|
| 50 |
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"<|7.56|>": 50743,
|
| 1382 |
+
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|
| 1383 |
+
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|
| 1384 |
+
"<|7.62|>": 50746,
|
| 1385 |
+
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|
| 1386 |
+
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|
| 1387 |
+
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|
| 1388 |
+
"<|7.70|>": 50750,
|
| 1389 |
+
"<|7.72|>": 50751,
|
| 1390 |
+
"<|7.74|>": 50752,
|
| 1391 |
+
"<|7.76|>": 50753,
|
| 1392 |
+
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|
| 1393 |
+
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|
| 1394 |
+
"<|7.82|>": 50756,
|
| 1395 |
+
"<|7.84|>": 50757,
|
| 1396 |
+
"<|7.86|>": 50758,
|
| 1397 |
+
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|
| 1398 |
+
"<|7.90|>": 50760,
|
| 1399 |
+
"<|7.92|>": 50761,
|
| 1400 |
+
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|
| 1401 |
+
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|
| 1402 |
+
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|
| 1403 |
+
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|
| 1404 |
+
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|
| 1405 |
+
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|
| 1406 |
+
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|
| 1407 |
+
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|
| 1408 |
+
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|
| 1409 |
+
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|
| 1410 |
+
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|
| 1411 |
+
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|
| 1412 |
+
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|
| 1413 |
+
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|
| 1414 |
+
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|
| 1415 |
+
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|
| 1416 |
+
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|
| 1417 |
+
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|
| 1418 |
+
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|
| 1419 |
+
"<|8.32|>": 50781,
|
| 1420 |
+
"<|8.34|>": 50782,
|
| 1421 |
+
"<|8.36|>": 50783,
|
| 1422 |
+
"<|8.38|>": 50784,
|
| 1423 |
+
"<|8.40|>": 50785,
|
| 1424 |
+
"<|8.42|>": 50786,
|
| 1425 |
+
"<|8.44|>": 50787,
|
| 1426 |
+
"<|8.46|>": 50788,
|
| 1427 |
+
"<|8.48|>": 50789,
|
| 1428 |
+
"<|8.50|>": 50790,
|
| 1429 |
+
"<|8.52|>": 50791,
|
| 1430 |
+
"<|8.54|>": 50792,
|
| 1431 |
+
"<|8.56|>": 50793,
|
| 1432 |
+
"<|8.58|>": 50794,
|
| 1433 |
+
"<|8.60|>": 50795,
|
| 1434 |
+
"<|8.62|>": 50796,
|
| 1435 |
+
"<|8.64|>": 50797,
|
| 1436 |
+
"<|8.66|>": 50798,
|
| 1437 |
+
"<|8.68|>": 50799,
|
| 1438 |
+
"<|8.70|>": 50800,
|
| 1439 |
+
"<|8.72|>": 50801,
|
| 1440 |
+
"<|8.74|>": 50802,
|
| 1441 |
+
"<|8.76|>": 50803,
|
| 1442 |
+
"<|8.78|>": 50804,
|
| 1443 |
+
"<|8.80|>": 50805,
|
| 1444 |
+
"<|8.82|>": 50806,
|
| 1445 |
+
"<|8.84|>": 50807,
|
| 1446 |
+
"<|8.86|>": 50808,
|
| 1447 |
+
"<|8.88|>": 50809,
|
| 1448 |
+
"<|8.90|>": 50810,
|
| 1449 |
+
"<|8.92|>": 50811,
|
| 1450 |
+
"<|8.94|>": 50812,
|
| 1451 |
+
"<|8.96|>": 50813,
|
| 1452 |
+
"<|8.98|>": 50814,
|
| 1453 |
+
"<|9.00|>": 50815,
|
| 1454 |
+
"<|9.02|>": 50816,
|
| 1455 |
+
"<|9.04|>": 50817,
|
| 1456 |
+
"<|9.06|>": 50818,
|
| 1457 |
+
"<|9.08|>": 50819,
|
| 1458 |
+
"<|9.10|>": 50820,
|
| 1459 |
+
"<|9.12|>": 50821,
|
| 1460 |
+
"<|9.14|>": 50822,
|
| 1461 |
+
"<|9.16|>": 50823,
|
| 1462 |
+
"<|9.18|>": 50824,
|
| 1463 |
+
"<|9.20|>": 50825,
|
| 1464 |
+
"<|9.22|>": 50826,
|
| 1465 |
+
"<|9.24|>": 50827,
|
| 1466 |
+
"<|9.26|>": 50828,
|
| 1467 |
+
"<|9.28|>": 50829,
|
| 1468 |
+
"<|9.30|>": 50830,
|
| 1469 |
+
"<|9.32|>": 50831,
|
| 1470 |
+
"<|9.34|>": 50832,
|
| 1471 |
+
"<|9.36|>": 50833,
|
| 1472 |
+
"<|9.38|>": 50834,
|
| 1473 |
+
"<|9.40|>": 50835,
|
| 1474 |
+
"<|9.42|>": 50836,
|
| 1475 |
+
"<|9.44|>": 50837,
|
| 1476 |
+
"<|9.46|>": 50838,
|
| 1477 |
+
"<|9.48|>": 50839,
|
| 1478 |
+
"<|9.50|>": 50840,
|
| 1479 |
+
"<|9.52|>": 50841,
|
| 1480 |
+
"<|9.54|>": 50842,
|
| 1481 |
+
"<|9.56|>": 50843,
|
| 1482 |
+
"<|9.58|>": 50844,
|
| 1483 |
+
"<|9.60|>": 50845,
|
| 1484 |
+
"<|9.62|>": 50846,
|
| 1485 |
+
"<|9.64|>": 50847,
|
| 1486 |
+
"<|9.66|>": 50848,
|
| 1487 |
+
"<|9.68|>": 50849,
|
| 1488 |
+
"<|9.70|>": 50850,
|
| 1489 |
+
"<|9.72|>": 50851,
|
| 1490 |
+
"<|9.74|>": 50852,
|
| 1491 |
+
"<|9.76|>": 50853,
|
| 1492 |
+
"<|9.78|>": 50854,
|
| 1493 |
+
"<|9.80|>": 50855,
|
| 1494 |
+
"<|9.82|>": 50856,
|
| 1495 |
+
"<|9.84|>": 50857,
|
| 1496 |
+
"<|9.86|>": 50858,
|
| 1497 |
+
"<|9.88|>": 50859,
|
| 1498 |
+
"<|9.90|>": 50860,
|
| 1499 |
+
"<|9.92|>": 50861,
|
| 1500 |
+
"<|9.94|>": 50862,
|
| 1501 |
+
"<|9.96|>": 50863,
|
| 1502 |
+
"<|9.98|>": 50864,
|
| 1503 |
+
"<|af|>": 50327,
|
| 1504 |
+
"<|am|>": 50334,
|
| 1505 |
+
"<|ar|>": 50272,
|
| 1506 |
+
"<|as|>": 50350,
|
| 1507 |
+
"<|az|>": 50304,
|
| 1508 |
+
"<|ba|>": 50355,
|
| 1509 |
+
"<|be|>": 50330,
|
| 1510 |
+
"<|bg|>": 50292,
|
| 1511 |
+
"<|bn|>": 50302,
|
| 1512 |
+
"<|bo|>": 50347,
|
| 1513 |
+
"<|br|>": 50309,
|
| 1514 |
+
"<|bs|>": 50315,
|
| 1515 |
+
"<|ca|>": 50270,
|
| 1516 |
+
"<|cs|>": 50283,
|
| 1517 |
+
"<|cy|>": 50297,
|
| 1518 |
+
"<|da|>": 50285,
|
| 1519 |
+
"<|de|>": 50261,
|
| 1520 |
+
"<|el|>": 50281,
|
| 1521 |
+
"<|endoftext|>": 50257,
|
| 1522 |
+
"<|en|>": 50259,
|
| 1523 |
+
"<|es|>": 50262,
|
| 1524 |
+
"<|et|>": 50307,
|
| 1525 |
+
"<|eu|>": 50310,
|
| 1526 |
+
"<|fa|>": 50300,
|
| 1527 |
+
"<|fi|>": 50277,
|
| 1528 |
+
"<|fo|>": 50338,
|
| 1529 |
+
"<|fr|>": 50265,
|
| 1530 |
+
"<|gl|>": 50319,
|
| 1531 |
+
"<|gu|>": 50333,
|
| 1532 |
+
"<|haw|>": 50352,
|
| 1533 |
+
"<|ha|>": 50354,
|
| 1534 |
+
"<|he|>": 50279,
|
| 1535 |
+
"<|hi|>": 50276,
|
| 1536 |
+
"<|hr|>": 50291,
|
| 1537 |
+
"<|ht|>": 50339,
|
| 1538 |
+
"<|hu|>": 50286,
|
| 1539 |
+
"<|hy|>": 50312,
|
| 1540 |
+
"<|id|>": 50275,
|
| 1541 |
+
"<|is|>": 50311,
|
| 1542 |
+
"<|it|>": 50274,
|
| 1543 |
+
"<|ja|>": 50266,
|
| 1544 |
+
"<|jw|>": 50356,
|
| 1545 |
+
"<|ka|>": 50329,
|
| 1546 |
+
"<|kk|>": 50316,
|
| 1547 |
+
"<|km|>": 50323,
|
| 1548 |
+
"<|kn|>": 50306,
|
| 1549 |
+
"<|ko|>": 50264,
|
| 1550 |
+
"<|la|>": 50294,
|
| 1551 |
+
"<|lb|>": 50345,
|
| 1552 |
+
"<|ln|>": 50353,
|
| 1553 |
+
"<|lo|>": 50336,
|
| 1554 |
+
"<|lt|>": 50293,
|
| 1555 |
+
"<|lv|>": 50301,
|
| 1556 |
+
"<|mg|>": 50349,
|
| 1557 |
+
"<|mi|>": 50295,
|
| 1558 |
+
"<|mk|>": 50308,
|
| 1559 |
+
"<|ml|>": 50296,
|
| 1560 |
+
"<|mn|>": 50314,
|
| 1561 |
+
"<|mr|>": 50320,
|
| 1562 |
+
"<|ms|>": 50282,
|
| 1563 |
+
"<|mt|>": 50343,
|
| 1564 |
+
"<|my|>": 50346,
|
| 1565 |
+
"<|ne|>": 50313,
|
| 1566 |
+
"<|nl|>": 50271,
|
| 1567 |
+
"<|nn|>": 50342,
|
| 1568 |
+
"<|nospeech|>": 50363,
|
| 1569 |
+
"<|notimestamps|>": 50364,
|
| 1570 |
+
"<|no|>": 50288,
|
| 1571 |
+
"<|oc|>": 50328,
|
| 1572 |
+
"<|pa|>": 50321,
|
| 1573 |
+
"<|pl|>": 50269,
|
| 1574 |
+
"<|ps|>": 50340,
|
| 1575 |
+
"<|pt|>": 50267,
|
| 1576 |
+
"<|ro|>": 50284,
|
| 1577 |
+
"<|ru|>": 50263,
|
| 1578 |
+
"<|sa|>": 50344,
|
| 1579 |
+
"<|sd|>": 50332,
|
| 1580 |
+
"<|si|>": 50322,
|
| 1581 |
+
"<|sk|>": 50298,
|
| 1582 |
+
"<|sl|>": 50305,
|
| 1583 |
+
"<|sn|>": 50324,
|
| 1584 |
+
"<|so|>": 50326,
|
| 1585 |
+
"<|sq|>": 50317,
|
| 1586 |
+
"<|sr|>": 50303,
|
| 1587 |
+
"<|startoflm|>": 50361,
|
| 1588 |
+
"<|startofprev|>": 50362,
|
| 1589 |
+
"<|startoftranscript|>": 50258,
|
| 1590 |
+
"<|su|>": 50357,
|
| 1591 |
+
"<|sv|>": 50273,
|
| 1592 |
+
"<|sw|>": 50318,
|
| 1593 |
+
"<|ta|>": 50287,
|
| 1594 |
+
"<|te|>": 50299,
|
| 1595 |
+
"<|tg|>": 50331,
|
| 1596 |
+
"<|th|>": 50289,
|
| 1597 |
+
"<|tk|>": 50341,
|
| 1598 |
+
"<|tl|>": 50348,
|
| 1599 |
+
"<|transcribe|>": 50360,
|
| 1600 |
+
"<|translate|>": 50359,
|
| 1601 |
+
"<|tr|>": 50268,
|
| 1602 |
+
"<|tt|>": 50351,
|
| 1603 |
+
"<|uk|>": 50280,
|
| 1604 |
+
"<|ur|>": 50290,
|
| 1605 |
+
"<|uz|>": 50337,
|
| 1606 |
+
"<|vi|>": 50278,
|
| 1607 |
+
"<|yi|>": 50335,
|
| 1608 |
+
"<|yo|>": 50325,
|
| 1609 |
+
"<|yue|>": 50358,
|
| 1610 |
+
"<|zh|>": 50260
|
| 1611 |
+
}
|
| 1612 |
+
|
asr_fallback/config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation_dropout": 0.0,
|
| 3 |
+
"activation_function": "gelu",
|
| 4 |
+
"apply_spec_augment": false,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"WhisperForConditionalGeneration"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.0,
|
| 9 |
+
"begin_suppress_tokens": [
|
| 10 |
+
220,
|
| 11 |
+
50256
|
| 12 |
+
],
|
| 13 |
+
"bos_token_id": 50257,
|
| 14 |
+
"classifier_proj_size": 256,
|
| 15 |
+
"d_model": 1280,
|
| 16 |
+
"decoder_attention_heads": 20,
|
| 17 |
+
"decoder_ffn_dim": 5120,
|
| 18 |
+
"decoder_layerdrop": 0.0,
|
| 19 |
+
"decoder_layers": 4,
|
| 20 |
+
"decoder_start_token_id": 50258,
|
| 21 |
+
"dropout": 0.0,
|
| 22 |
+
"encoder_attention_heads": 20,
|
| 23 |
+
"encoder_ffn_dim": 5120,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 32,
|
| 26 |
+
"eos_token_id": 50257,
|
| 27 |
+
"init_std": 0.02,
|
| 28 |
+
"is_encoder_decoder": true,
|
| 29 |
+
"mask_feature_length": 10,
|
| 30 |
+
"mask_feature_min_masks": 0,
|
| 31 |
+
"mask_feature_prob": 0.0,
|
| 32 |
+
"mask_time_length": 10,
|
| 33 |
+
"mask_time_min_masks": 2,
|
| 34 |
+
"mask_time_prob": 0.05,
|
| 35 |
+
"max_source_positions": 1500,
|
| 36 |
+
"max_target_positions": 448,
|
| 37 |
+
"median_filter_width": 7,
|
| 38 |
+
"model_type": "whisper",
|
| 39 |
+
"num_hidden_layers": 32,
|
| 40 |
+
"num_mel_bins": 128,
|
| 41 |
+
"pad_token_id": 50257,
|
| 42 |
+
"scale_embedding": false,
|
| 43 |
+
"torch_dtype": "float16",
|
| 44 |
+
"transformers_version": "4.46.0.dev0",
|
| 45 |
+
"use_cache": true,
|
| 46 |
+
"use_weighted_layer_sum": false,
|
| 47 |
+
"vocab_size": 51866
|
| 48 |
+
}
|
| 49 |
+
|
asr_fallback/generation_config.json
ADDED
|
@@ -0,0 +1,250 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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The diff for this file is too large to render.
See raw diff
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|
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asr_fallback/model.safetensors
ADDED
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| 3 |
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size 1617824952
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asr_fallback/normalizer.json
ADDED
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@@ -0,0 +1,1743 @@
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|
| 1 |
+
{
|
| 2 |
+
"accessorise": "accessorize",
|
| 3 |
+
"accessorised": "accessorized",
|
| 4 |
+
"accessorises": "accessorizes",
|
| 5 |
+
"accessorising": "accessorizing",
|
| 6 |
+
"acclimatisation": "acclimatization",
|
| 7 |
+
"acclimatise": "acclimatize",
|
| 8 |
+
"acclimatised": "acclimatized",
|
| 9 |
+
"acclimatises": "acclimatizes",
|
| 10 |
+
"acclimatising": "acclimatizing",
|
| 11 |
+
"accoutrements": "accouterments",
|
| 12 |
+
"aeon": "eon",
|
| 13 |
+
"aeons": "eons",
|
| 14 |
+
"aerogramme": "aerogram",
|
| 15 |
+
"aerogrammes": "aerograms",
|
| 16 |
+
"aeroplane": "airplane",
|
| 17 |
+
"aeroplanes": "airplanes",
|
| 18 |
+
"aesthete": "esthete",
|
| 19 |
+
"aesthetes": "esthetes",
|
| 20 |
+
"aesthetic": "esthetic",
|
| 21 |
+
"aesthetically": "esthetically",
|
| 22 |
+
"aesthetics": "esthetics",
|
| 23 |
+
"aetiology": "etiology",
|
| 24 |
+
"ageing": "aging",
|
| 25 |
+
"aggrandisement": "aggrandizement",
|
| 26 |
+
"agonise": "agonize",
|
| 27 |
+
"agonised": "agonized",
|
| 28 |
+
"agonises": "agonizes",
|
| 29 |
+
"agonising": "agonizing",
|
| 30 |
+
"agonisingly": "agonizingly",
|
| 31 |
+
"almanack": "almanac",
|
| 32 |
+
"almanacks": "almanacs",
|
| 33 |
+
"aluminium": "aluminum",
|
| 34 |
+
"amortisable": "amortizable",
|
| 35 |
+
"amortisation": "amortization",
|
| 36 |
+
"amortisations": "amortizations",
|
| 37 |
+
"amortise": "amortize",
|
| 38 |
+
"amortised": "amortized",
|
| 39 |
+
"amortises": "amortizes",
|
| 40 |
+
"amortising": "amortizing",
|
| 41 |
+
"amphitheatre": "amphitheater",
|
| 42 |
+
"amphitheatres": "amphitheaters",
|
| 43 |
+
"anaemia": "anemia",
|
| 44 |
+
"anaemic": "anemic",
|
| 45 |
+
"anaesthesia": "anesthesia",
|
| 46 |
+
"anaesthetic": "anesthetic",
|
| 47 |
+
"anaesthetics": "anesthetics",
|
| 48 |
+
"anaesthetise": "anesthetize",
|
| 49 |
+
"anaesthetised": "anesthetized",
|
| 50 |
+
"anaesthetises": "anesthetizes",
|
| 51 |
+
"anaesthetising": "anesthetizing",
|
| 52 |
+
"anaesthetist": "anesthetist",
|
| 53 |
+
"anaesthetists": "anesthetists",
|
| 54 |
+
"anaesthetize": "anesthetize",
|
| 55 |
+
"anaesthetized": "anesthetized",
|
| 56 |
+
"anaesthetizes": "anesthetizes",
|
| 57 |
+
"anaesthetizing": "anesthetizing",
|
| 58 |
+
"analogue": "analog",
|
| 59 |
+
"analogues": "analogs",
|
| 60 |
+
"analyse": "analyze",
|
| 61 |
+
"analysed": "analyzed",
|
| 62 |
+
"analyses": "analyzes",
|
| 63 |
+
"analysing": "analyzing",
|
| 64 |
+
"anglicise": "anglicize",
|
| 65 |
+
"anglicised": "anglicized",
|
| 66 |
+
"anglicises": "anglicizes",
|
| 67 |
+
"anglicising": "anglicizing",
|
| 68 |
+
"annualised": "annualized",
|
| 69 |
+
"antagonise": "antagonize",
|
| 70 |
+
"antagonised": "antagonized",
|
| 71 |
+
"antagonises": "antagonizes",
|
| 72 |
+
"antagonising": "antagonizing",
|
| 73 |
+
"apologise": "apologize",
|
| 74 |
+
"apologised": "apologized",
|
| 75 |
+
"apologises": "apologizes",
|
| 76 |
+
"apologising": "apologizing",
|
| 77 |
+
"appal": "appall",
|
| 78 |
+
"appals": "appalls",
|
| 79 |
+
"appetiser": "appetizer",
|
| 80 |
+
"appetisers": "appetizers",
|
| 81 |
+
"appetising": "appetizing",
|
| 82 |
+
"appetisingly": "appetizingly",
|
| 83 |
+
"arbour": "arbor",
|
| 84 |
+
"arbours": "arbors",
|
| 85 |
+
"archaeologically": "archeologically",
|
| 86 |
+
"archaeologist": "archeologist",
|
| 87 |
+
"archaeologists": "archeologists",
|
| 88 |
+
"archaeology": "archeology</span>",
|
| 89 |
+
"archeological": "archaeological",
|
| 90 |
+
"ardour": "ardor",
|
| 91 |
+
"armour": "armor",
|
| 92 |
+
"armoured": "armored",
|
| 93 |
+
"armourer": "armorer",
|
| 94 |
+
"armourers": "armorers",
|
| 95 |
+
"armouries": "armories",
|
| 96 |
+
"armoury": "armory",
|
| 97 |
+
"artefact": "artifact",
|
| 98 |
+
"artefacts": "artifacts",
|
| 99 |
+
"authorise": "authorize",
|
| 100 |
+
"authorised": "authorized",
|
| 101 |
+
"authorises": "authorizes",
|
| 102 |
+
"authorising": "authorizing",
|
| 103 |
+
"axe": "ax",
|
| 104 |
+
"backpedalled": "backpedaled",
|
| 105 |
+
"backpedalling": "backpedaling",
|
| 106 |
+
"bannister": "banister",
|
| 107 |
+
"bannisters": "banisters",
|
| 108 |
+
"baptise": "baptize",
|
| 109 |
+
"baptised": "baptized",
|
| 110 |
+
"baptises": "baptizes",
|
| 111 |
+
"baptising": "baptizing",
|
| 112 |
+
"bastardise": "bastardize",
|
| 113 |
+
"bastardised": "bastardized",
|
| 114 |
+
"bastardises": "bastardizes",
|
| 115 |
+
"bastardising": "bastardizing",
|
| 116 |
+
"battleax": "battleaxe",
|
| 117 |
+
"baulk": "balk",
|
| 118 |
+
"baulked": "balked",
|
| 119 |
+
"baulking": "balking",
|
| 120 |
+
"baulks": "balks",
|
| 121 |
+
"bedevilled": "bedeviled",
|
| 122 |
+
"bedevilling": "bedeviling",
|
| 123 |
+
"behaviour": "behavior",
|
| 124 |
+
"behavioural": "behavioral",
|
| 125 |
+
"behaviourism": "behaviorism",
|
| 126 |
+
"behaviourist": "behaviorist",
|
| 127 |
+
"behaviourists": "behaviorists",
|
| 128 |
+
"behaviours": "behaviors",
|
| 129 |
+
"behove": "behoove",
|
| 130 |
+
"behoved": "behooved",
|
| 131 |
+
"behoves": "behooves",
|
| 132 |
+
"bejewelled": "bejeweled",
|
| 133 |
+
"belabour": "belabor",
|
| 134 |
+
"belaboured": "belabored",
|
| 135 |
+
"belabouring": "belaboring",
|
| 136 |
+
"belabours": "belabors",
|
| 137 |
+
"bevelled": "beveled",
|
| 138 |
+
"bevvies": "bevies",
|
| 139 |
+
"bevvy": "bevy",
|
| 140 |
+
"biassed": "biased",
|
| 141 |
+
"biassing": "biasing",
|
| 142 |
+
"bingeing": "binging",
|
| 143 |
+
"bougainvillaea": "bougainvillea",
|
| 144 |
+
"bougainvillaeas": "bougainvilleas",
|
| 145 |
+
"bowdlerise": "bowdlerize",
|
| 146 |
+
"bowdlerised": "bowdlerized",
|
| 147 |
+
"bowdlerises": "bowdlerizes",
|
| 148 |
+
"bowdlerising": "bowdlerizing",
|
| 149 |
+
"breathalyse": "breathalyze",
|
| 150 |
+
"breathalysed": "breathalyzed",
|
| 151 |
+
"breathalyser": "breathalyzer",
|
| 152 |
+
"breathalysers": "breathalyzers",
|
| 153 |
+
"breathalyses": "breathalyzes",
|
| 154 |
+
"breathalysing": "breathalyzing",
|
| 155 |
+
"brutalise": "brutalize",
|
| 156 |
+
"brutalised": "brutalized",
|
| 157 |
+
"brutalises": "brutalizes",
|
| 158 |
+
"brutalising": "brutalizing",
|
| 159 |
+
"busses": "buses",
|
| 160 |
+
"bussing": "busing",
|
| 161 |
+
"caesarean": "cesarean",
|
| 162 |
+
"caesareans": "cesareans",
|
| 163 |
+
"calibre": "caliber",
|
| 164 |
+
"calibres": "calibers",
|
| 165 |
+
"calliper": "caliper",
|
| 166 |
+
"callipers": "calipers",
|
| 167 |
+
"callisthenics": "calisthenics",
|
| 168 |
+
"canalise": "canalize",
|
| 169 |
+
"canalised": "canalized",
|
| 170 |
+
"canalises": "canalizes",
|
| 171 |
+
"canalising": "canalizing",
|
| 172 |
+
"cancelation": "cancellation",
|
| 173 |
+
"cancelations": "cancellations",
|
| 174 |
+
"cancelled": "canceled",
|
| 175 |
+
"cancelling": "canceling",
|
| 176 |
+
"candour": "candor",
|
| 177 |
+
"cannibalise": "cannibalize",
|
| 178 |
+
"cannibalised": "cannibalized",
|
| 179 |
+
"cannibalises": "cannibalizes",
|
| 180 |
+
"cannibalising": "cannibalizing",
|
| 181 |
+
"canonise": "canonize",
|
| 182 |
+
"canonised": "canonized",
|
| 183 |
+
"canonises": "canonizes",
|
| 184 |
+
"canonising": "canonizing",
|
| 185 |
+
"capitalise": "capitalize",
|
| 186 |
+
"capitalised": "capitalized",
|
| 187 |
+
"capitalises": "capitalizes",
|
| 188 |
+
"capitalising": "capitalizing",
|
| 189 |
+
"caramelise": "caramelize",
|
| 190 |
+
"caramelised": "caramelized",
|
| 191 |
+
"caramelises": "caramelizes",
|
| 192 |
+
"caramelising": "caramelizing",
|
| 193 |
+
"carbonise": "carbonize",
|
| 194 |
+
"carbonised": "carbonized",
|
| 195 |
+
"carbonises": "carbonizes",
|
| 196 |
+
"carbonising": "carbonizing",
|
| 197 |
+
"carolled": "caroled",
|
| 198 |
+
"carolling": "caroling",
|
| 199 |
+
"catalogue": "catalog",
|
| 200 |
+
"catalogued": "cataloged",
|
| 201 |
+
"catalogues": "catalogs",
|
| 202 |
+
"cataloguing": "cataloging",
|
| 203 |
+
"catalyse": "catalyze",
|
| 204 |
+
"catalysed": "catalyzed",
|
| 205 |
+
"catalyses": "catalyzes",
|
| 206 |
+
"catalysing": "catalyzing",
|
| 207 |
+
"categorise": "categorize",
|
| 208 |
+
"categorised": "categorized",
|
| 209 |
+
"categorises": "categorizes",
|
| 210 |
+
"categorising": "categorizing",
|
| 211 |
+
"cauterise": "cauterize",
|
| 212 |
+
"cauterised": "cauterized",
|
| 213 |
+
"cauterises": "cauterizes",
|
| 214 |
+
"cauterising": "cauterizing",
|
| 215 |
+
"cavilled": "caviled",
|
| 216 |
+
"cavilling": "caviling",
|
| 217 |
+
"centigramme": "centigram",
|
| 218 |
+
"centigrammes": "centigrams",
|
| 219 |
+
"centilitre": "centiliter",
|
| 220 |
+
"centilitres": "centiliters",
|
| 221 |
+
"centimetre": "centimeter",
|
| 222 |
+
"centimetres": "centimeters",
|
| 223 |
+
"centralise": "centralize",
|
| 224 |
+
"centralised": "centralized",
|
| 225 |
+
"centralises": "centralizes",
|
| 226 |
+
"centralising": "centralizing",
|
| 227 |
+
"centre": "center",
|
| 228 |
+
"centred": "centered",
|
| 229 |
+
"centrefold": "centerfold",
|
| 230 |
+
"centrefolds": "centerfolds",
|
| 231 |
+
"centrepiece": "centerpiece",
|
| 232 |
+
"centrepieces": "centerpieces",
|
| 233 |
+
"centres": "centers",
|
| 234 |
+
"channelled": "channeled",
|
| 235 |
+
"channelling": "channeling",
|
| 236 |
+
"characterise": "characterize",
|
| 237 |
+
"characterised": "characterized",
|
| 238 |
+
"characterises": "characterizes",
|
| 239 |
+
"characterising": "characterizing",
|
| 240 |
+
"cheque": "check",
|
| 241 |
+
"chequebook": "checkbook",
|
| 242 |
+
"chequebooks": "checkbooks",
|
| 243 |
+
"chequered": "checkered",
|
| 244 |
+
"cheques": "checks",
|
| 245 |
+
"chilli": "chili",
|
| 246 |
+
"chimaera": "chimera",
|
| 247 |
+
"chimaeras": "chimeras",
|
| 248 |
+
"chiselled": "chiseled",
|
| 249 |
+
"chiselling": "chiseling",
|
| 250 |
+
"circularise": "circularize",
|
| 251 |
+
"circularised": "circularized",
|
| 252 |
+
"circularises": "circularizes",
|
| 253 |
+
"circularising": "circularizing",
|
| 254 |
+
"civilise": "civilize",
|
| 255 |
+
"civilised": "civilized",
|
| 256 |
+
"civilises": "civilizes",
|
| 257 |
+
"civilising": "civilizing",
|
| 258 |
+
"clamour": "clamor",
|
| 259 |
+
"clamoured": "clamored",
|
| 260 |
+
"clamouring": "clamoring",
|
| 261 |
+
"clamours": "clamors",
|
| 262 |
+
"clangour": "clangor",
|
| 263 |
+
"clarinettist": "clarinetist",
|
| 264 |
+
"clarinettists": "clarinetists",
|
| 265 |
+
"collectivise": "collectivize",
|
| 266 |
+
"collectivised": "collectivized",
|
| 267 |
+
"collectivises": "collectivizes",
|
| 268 |
+
"collectivising": "collectivizing",
|
| 269 |
+
"colonisation": "colonization",
|
| 270 |
+
"colonise": "colonize",
|
| 271 |
+
"colonised": "colonized",
|
| 272 |
+
"coloniser": "colonizer",
|
| 273 |
+
"colonisers": "colonizers",
|
| 274 |
+
"colonises": "colonizes",
|
| 275 |
+
"colonising": "colonizing",
|
| 276 |
+
"colour": "color",
|
| 277 |
+
"colourant": "colorant",
|
| 278 |
+
"colourants": "colorants",
|
| 279 |
+
"coloured": "colored",
|
| 280 |
+
"coloureds": "coloreds",
|
| 281 |
+
"colourful": "colorful",
|
| 282 |
+
"colourfully": "colorfully",
|
| 283 |
+
"colouring": "coloring",
|
| 284 |
+
"colourize": "colorize",
|
| 285 |
+
"colourized": "colorized",
|
| 286 |
+
"colourizes": "colorizes",
|
| 287 |
+
"colourizing": "colorizing",
|
| 288 |
+
"colourless": "colorless",
|
| 289 |
+
"colours": "colors",
|
| 290 |
+
"commercialise": "commercialize",
|
| 291 |
+
"commercialised": "commercialized",
|
| 292 |
+
"commercialises": "commercializes",
|
| 293 |
+
"commercialising": "commercializing",
|
| 294 |
+
"compartmentalise": "compartmentalize",
|
| 295 |
+
"compartmentalised": "compartmentalized",
|
| 296 |
+
"compartmentalises": "compartmentalizes",
|
| 297 |
+
"compartmentalising": "compartmentalizing",
|
| 298 |
+
"computerise": "computerize",
|
| 299 |
+
"computerised": "computerized",
|
| 300 |
+
"computerises": "computerizes",
|
| 301 |
+
"computerising": "computerizing",
|
| 302 |
+
"conceptualise": "conceptualize",
|
| 303 |
+
"conceptualised": "conceptualized",
|
| 304 |
+
"conceptualises": "conceptualizes",
|
| 305 |
+
"conceptualising": "conceptualizing",
|
| 306 |
+
"connexion": "connection",
|
| 307 |
+
"connexions": "connections",
|
| 308 |
+
"contextualise": "contextualize",
|
| 309 |
+
"contextualised": "contextualized",
|
| 310 |
+
"contextualises": "contextualizes",
|
| 311 |
+
"contextualising": "contextualizing",
|
| 312 |
+
"cosier": "cozier",
|
| 313 |
+
"cosies": "cozies",
|
| 314 |
+
"cosiest": "coziest",
|
| 315 |
+
"cosily": "cozily",
|
| 316 |
+
"cosiness": "coziness",
|
| 317 |
+
"cosy": "cozy",
|
| 318 |
+
"councillor": "councilor",
|
| 319 |
+
"councillors": "councilors",
|
| 320 |
+
"counselled": "counseled",
|
| 321 |
+
"counselling": "counseling",
|
| 322 |
+
"counsellor": "counselor",
|
| 323 |
+
"counsellors": "counselors",
|
| 324 |
+
"crenelated": "crenellated",
|
| 325 |
+
"criminalise": "criminalize",
|
| 326 |
+
"criminalised": "criminalized",
|
| 327 |
+
"criminalises": "criminalizes",
|
| 328 |
+
"criminalising": "criminalizing",
|
| 329 |
+
"criticise": "criticize",
|
| 330 |
+
"criticised": "criticized",
|
| 331 |
+
"criticises": "criticizes",
|
| 332 |
+
"criticising": "criticizing",
|
| 333 |
+
"crueller": "crueler",
|
| 334 |
+
"cruellest": "cruelest",
|
| 335 |
+
"crystallisation": "crystallization",
|
| 336 |
+
"crystallise": "crystallize",
|
| 337 |
+
"crystallised": "crystallized",
|
| 338 |
+
"crystallises": "crystallizes",
|
| 339 |
+
"crystallising": "crystallizing",
|
| 340 |
+
"cudgelled": "cudgeled",
|
| 341 |
+
"cudgelling": "cudgeling",
|
| 342 |
+
"customise": "customize",
|
| 343 |
+
"customised": "customized",
|
| 344 |
+
"customises": "customizes",
|
| 345 |
+
"customising": "customizing",
|
| 346 |
+
"cypher": "cipher",
|
| 347 |
+
"cyphers": "ciphers",
|
| 348 |
+
"decentralisation": "decentralization",
|
| 349 |
+
"decentralise": "decentralize",
|
| 350 |
+
"decentralised": "decentralized",
|
| 351 |
+
"decentralises": "decentralizes",
|
| 352 |
+
"decentralising": "decentralizing",
|
| 353 |
+
"decriminalisation": "decriminalization",
|
| 354 |
+
"decriminalise": "decriminalize",
|
| 355 |
+
"decriminalised": "decriminalized",
|
| 356 |
+
"decriminalises": "decriminalizes",
|
| 357 |
+
"decriminalising": "decriminalizing",
|
| 358 |
+
"defence": "defense",
|
| 359 |
+
"defenceless": "defenseless",
|
| 360 |
+
"defences": "defenses",
|
| 361 |
+
"dehumanisation": "dehumanization",
|
| 362 |
+
"dehumanise": "dehumanize",
|
| 363 |
+
"dehumanised": "dehumanized",
|
| 364 |
+
"dehumanises": "dehumanizes",
|
| 365 |
+
"dehumanising": "dehumanizing",
|
| 366 |
+
"demeanour": "demeanor",
|
| 367 |
+
"demilitarisation": "demilitarization",
|
| 368 |
+
"demilitarise": "demilitarize",
|
| 369 |
+
"demilitarised": "demilitarized",
|
| 370 |
+
"demilitarises": "demilitarizes",
|
| 371 |
+
"demilitarising": "demilitarizing",
|
| 372 |
+
"demobilisation": "demobilization",
|
| 373 |
+
"demobilise": "demobilize",
|
| 374 |
+
"demobilised": "demobilized",
|
| 375 |
+
"demobilises": "demobilizes",
|
| 376 |
+
"demobilising": "demobilizing",
|
| 377 |
+
"democratisation": "democratization",
|
| 378 |
+
"democratise": "democratize",
|
| 379 |
+
"democratised": "democratized",
|
| 380 |
+
"democratises": "democratizes",
|
| 381 |
+
"democratising": "democratizing",
|
| 382 |
+
"demonise": "demonize",
|
| 383 |
+
"demonised": "demonized",
|
| 384 |
+
"demonises": "demonizes",
|
| 385 |
+
"demonising": "demonizing",
|
| 386 |
+
"demoralisation": "demoralization",
|
| 387 |
+
"demoralise": "demoralize",
|
| 388 |
+
"demoralised": "demoralized",
|
| 389 |
+
"demoralises": "demoralizes",
|
| 390 |
+
"demoralising": "demoralizing",
|
| 391 |
+
"denationalisation": "denationalization",
|
| 392 |
+
"denationalise": "denationalize",
|
| 393 |
+
"denationalised": "denationalized",
|
| 394 |
+
"denationalises": "denationalizes",
|
| 395 |
+
"denationalising": "denationalizing",
|
| 396 |
+
"deodorise": "deodorize",
|
| 397 |
+
"deodorised": "deodorized",
|
| 398 |
+
"deodorises": "deodorizes",
|
| 399 |
+
"deodorising": "deodorizing",
|
| 400 |
+
"depersonalise": "depersonalize",
|
| 401 |
+
"depersonalised": "depersonalized",
|
| 402 |
+
"depersonalises": "depersonalizes",
|
| 403 |
+
"depersonalising": "depersonalizing",
|
| 404 |
+
"deputise": "deputize",
|
| 405 |
+
"deputised": "deputized",
|
| 406 |
+
"deputises": "deputizes",
|
| 407 |
+
"deputising": "deputizing",
|
| 408 |
+
"desensitisation": "desensitization",
|
| 409 |
+
"desensitise": "desensitize",
|
| 410 |
+
"desensitised": "desensitized",
|
| 411 |
+
"desensitises": "desensitizes",
|
| 412 |
+
"desensitising": "desensitizing",
|
| 413 |
+
"destabilisation": "destabilization",
|
| 414 |
+
"destabilise": "destabilize",
|
| 415 |
+
"destabilised": "destabilized",
|
| 416 |
+
"destabilises": "destabilizes",
|
| 417 |
+
"destabilising": "destabilizing",
|
| 418 |
+
"dialled": "dialed",
|
| 419 |
+
"dialling": "dialing",
|
| 420 |
+
"dialogue": "dialog",
|
| 421 |
+
"dialogues": "dialogs",
|
| 422 |
+
"diarrhoea": "diarrhea",
|
| 423 |
+
"digitise": "digitize",
|
| 424 |
+
"digitised": "digitized",
|
| 425 |
+
"digitises": "digitizes",
|
| 426 |
+
"digitising": "digitizing",
|
| 427 |
+
"disc": "disk",
|
| 428 |
+
"discolour": "discolor",
|
| 429 |
+
"discoloured": "discolored",
|
| 430 |
+
"discolouring": "discoloring",
|
| 431 |
+
"discolours": "discolors",
|
| 432 |
+
"discs": "disks",
|
| 433 |
+
"disembowelled": "disemboweled",
|
| 434 |
+
"disembowelling": "disemboweling",
|
| 435 |
+
"disfavour": "disfavor",
|
| 436 |
+
"dishevelled": "disheveled",
|
| 437 |
+
"dishonour": "dishonor",
|
| 438 |
+
"dishonourable": "dishonorable",
|
| 439 |
+
"dishonourably": "dishonorably",
|
| 440 |
+
"dishonoured": "dishonored",
|
| 441 |
+
"dishonouring": "dishonoring",
|
| 442 |
+
"dishonours": "dishonors",
|
| 443 |
+
"disorganisation": "disorganization",
|
| 444 |
+
"disorganised": "disorganized",
|
| 445 |
+
"distil": "distill",
|
| 446 |
+
"distils": "distills",
|
| 447 |
+
"dramatisation": "dramatization",
|
| 448 |
+
"dramatisations": "dramatizations",
|
| 449 |
+
"dramatise": "dramatize",
|
| 450 |
+
"dramatised": "dramatized",
|
| 451 |
+
"dramatises": "dramatizes",
|
| 452 |
+
"dramatising": "dramatizing",
|
| 453 |
+
"draught": "draft",
|
| 454 |
+
"draughtboard": "draftboard",
|
| 455 |
+
"draughtboards": "draftboards",
|
| 456 |
+
"draughtier": "draftier",
|
| 457 |
+
"draughtiest": "draftiest",
|
| 458 |
+
"draughts": "drafts",
|
| 459 |
+
"draughtsman": "draftsman",
|
| 460 |
+
"draughtsmanship": "draftsmanship",
|
| 461 |
+
"draughtsmen": "draftsmen",
|
| 462 |
+
"draughtswoman": "draftswoman",
|
| 463 |
+
"draughtswomen": "draftswomen",
|
| 464 |
+
"draughty": "drafty",
|
| 465 |
+
"drivelled": "driveled",
|
| 466 |
+
"drivelling": "driveling",
|
| 467 |
+
"duelled": "dueled",
|
| 468 |
+
"duelling": "dueling",
|
| 469 |
+
"economise": "economize",
|
| 470 |
+
"economised": "economized",
|
| 471 |
+
"economises": "economizes",
|
| 472 |
+
"economising": "economizing",
|
| 473 |
+
"editorialise": "editorialize",
|
| 474 |
+
"editorialised": "editorialized",
|
| 475 |
+
"editorialises": "editorializes",
|
| 476 |
+
"editorialising": "editorializing",
|
| 477 |
+
"edoema": "edema",
|
| 478 |
+
"empathise": "empathize",
|
| 479 |
+
"empathised": "empathized",
|
| 480 |
+
"empathises": "empathizes",
|
| 481 |
+
"empathising": "empathizing",
|
| 482 |
+
"emphasise": "emphasize",
|
| 483 |
+
"emphasised": "emphasized",
|
| 484 |
+
"emphasises": "emphasizes",
|
| 485 |
+
"emphasising": "emphasizing",
|
| 486 |
+
"enamelled": "enameled",
|
| 487 |
+
"enamelling": "enameling",
|
| 488 |
+
"enamoured": "enamored",
|
| 489 |
+
"encyclopaedia": "encyclopedia",
|
| 490 |
+
"encyclopaedias": "encyclopedias",
|
| 491 |
+
"encyclopaedic": "encyclopedic",
|
| 492 |
+
"endeavour": "endeavor",
|
| 493 |
+
"endeavoured": "endeavored",
|
| 494 |
+
"endeavouring": "endeavoring",
|
| 495 |
+
"endeavours": "endeavors",
|
| 496 |
+
"energise": "energize",
|
| 497 |
+
"energised": "energized",
|
| 498 |
+
"energises": "energizes",
|
| 499 |
+
"energising": "energizing",
|
| 500 |
+
"enrol": "enroll",
|
| 501 |
+
"enrols": "enrolls",
|
| 502 |
+
"enthral": "enthrall",
|
| 503 |
+
"enthrals": "enthralls",
|
| 504 |
+
"epaulette": "epaulet",
|
| 505 |
+
"epaulettes": "epaulets",
|
| 506 |
+
"epicentre": "epicenter",
|
| 507 |
+
"epicentres": "epicenters",
|
| 508 |
+
"epilogue": "epilog",
|
| 509 |
+
"epilogues": "epilogs",
|
| 510 |
+
"epitomise": "epitomize",
|
| 511 |
+
"epitomised": "epitomized",
|
| 512 |
+
"epitomises": "epitomizes",
|
| 513 |
+
"epitomising": "epitomizing",
|
| 514 |
+
"equalisation": "equalization",
|
| 515 |
+
"equalise": "equalize",
|
| 516 |
+
"equalised": "equalized",
|
| 517 |
+
"equaliser": "equalizer",
|
| 518 |
+
"equalisers": "equalizers",
|
| 519 |
+
"equalises": "equalizes",
|
| 520 |
+
"equalising": "equalizing",
|
| 521 |
+
"eulogise": "eulogize",
|
| 522 |
+
"eulogised": "eulogized",
|
| 523 |
+
"eulogises": "eulogizes",
|
| 524 |
+
"eulogising": "eulogizing",
|
| 525 |
+
"evangelise": "evangelize",
|
| 526 |
+
"evangelised": "evangelized",
|
| 527 |
+
"evangelises": "evangelizes",
|
| 528 |
+
"evangelising": "evangelizing",
|
| 529 |
+
"exorcise": "exorcize",
|
| 530 |
+
"exorcised": "exorcized",
|
| 531 |
+
"exorcises": "exorcizes",
|
| 532 |
+
"exorcising": "exorcizing",
|
| 533 |
+
"extemporisation": "extemporization",
|
| 534 |
+
"extemporise": "extemporize",
|
| 535 |
+
"extemporised": "extemporized",
|
| 536 |
+
"extemporises": "extemporizes",
|
| 537 |
+
"extemporising": "extemporizing",
|
| 538 |
+
"externalisation": "externalization",
|
| 539 |
+
"externalisations": "externalizations",
|
| 540 |
+
"externalise": "externalize",
|
| 541 |
+
"externalised": "externalized",
|
| 542 |
+
"externalises": "externalizes",
|
| 543 |
+
"externalising": "externalizing",
|
| 544 |
+
"factorise": "factorize",
|
| 545 |
+
"factorised": "factorized",
|
| 546 |
+
"factorises": "factorizes",
|
| 547 |
+
"factorising": "factorizing",
|
| 548 |
+
"faecal": "fecal",
|
| 549 |
+
"faeces": "feces",
|
| 550 |
+
"familiarisation": "familiarization",
|
| 551 |
+
"familiarise": "familiarize",
|
| 552 |
+
"familiarised": "familiarized",
|
| 553 |
+
"familiarises": "familiarizes",
|
| 554 |
+
"familiarising": "familiarizing",
|
| 555 |
+
"fantasise": "fantasize",
|
| 556 |
+
"fantasised": "fantasized",
|
| 557 |
+
"fantasises": "fantasizes",
|
| 558 |
+
"fantasising": "fantasizing",
|
| 559 |
+
"favour": "favor",
|
| 560 |
+
"favourable": "favorable",
|
| 561 |
+
"favourably": "favorably",
|
| 562 |
+
"favoured": "favored",
|
| 563 |
+
"favouring": "favoring",
|
| 564 |
+
"favourite": "favorite",
|
| 565 |
+
"favourites": "favorites",
|
| 566 |
+
"favouritism": "favoritism",
|
| 567 |
+
"favours": "favors",
|
| 568 |
+
"feminise": "feminize",
|
| 569 |
+
"feminised": "feminized",
|
| 570 |
+
"feminises": "feminizes",
|
| 571 |
+
"feminising": "feminizing",
|
| 572 |
+
"fertilisation": "fertilization",
|
| 573 |
+
"fertilise": "fertilize",
|
| 574 |
+
"fertilised": "fertilized",
|
| 575 |
+
"fertiliser": "fertilizer",
|
| 576 |
+
"fertilisers": "fertilizers",
|
| 577 |
+
"fertilises": "fertilizes",
|
| 578 |
+
"fertilising": "fertilizing",
|
| 579 |
+
"fervour": "fervor",
|
| 580 |
+
"fibre": "fiber",
|
| 581 |
+
"fibreglass": "fiberglass",
|
| 582 |
+
"fibres": "fibers",
|
| 583 |
+
"fictionalisation": "fictionalization",
|
| 584 |
+
"fictionalisations": "fictionalizations",
|
| 585 |
+
"fictionalise": "fictionalize",
|
| 586 |
+
"fictionalised": "fictionalized",
|
| 587 |
+
"fictionalises": "fictionalizes",
|
| 588 |
+
"fictionalising": "fictionalizing",
|
| 589 |
+
"fillet": "filet",
|
| 590 |
+
"filleted": "fileted",
|
| 591 |
+
"filleting": "fileting",
|
| 592 |
+
"fillets": "filets",
|
| 593 |
+
"finalisation": "finalization",
|
| 594 |
+
"finalise": "finalize",
|
| 595 |
+
"finalised": "finalized",
|
| 596 |
+
"finalises": "finalizes",
|
| 597 |
+
"finalising": "finalizing",
|
| 598 |
+
"flautist": "flutist",
|
| 599 |
+
"flautists": "flutists",
|
| 600 |
+
"flavour": "flavor",
|
| 601 |
+
"flavoured": "flavored",
|
| 602 |
+
"flavouring": "flavoring",
|
| 603 |
+
"flavourings": "flavorings",
|
| 604 |
+
"flavourless": "flavorless",
|
| 605 |
+
"flavours": "flavors",
|
| 606 |
+
"flavoursome": "flavorsome",
|
| 607 |
+
"flyer / flier": "flier / flyer",
|
| 608 |
+
"foetal": "fetal",
|
| 609 |
+
"foetid": "fetid",
|
| 610 |
+
"foetus": "fetus",
|
| 611 |
+
"foetuses": "fetuses",
|
| 612 |
+
"formalisation": "formalization",
|
| 613 |
+
"formalise": "formalize",
|
| 614 |
+
"formalised": "formalized",
|
| 615 |
+
"formalises": "formalizes",
|
| 616 |
+
"formalising": "formalizing",
|
| 617 |
+
"fossilisation": "fossilization",
|
| 618 |
+
"fossilise": "fossilize",
|
| 619 |
+
"fossilised": "fossilized",
|
| 620 |
+
"fossilises": "fossilizes",
|
| 621 |
+
"fossilising": "fossilizing",
|
| 622 |
+
"fraternisation": "fraternization",
|
| 623 |
+
"fraternise": "fraternize",
|
| 624 |
+
"fraternised": "fraternized",
|
| 625 |
+
"fraternises": "fraternizes",
|
| 626 |
+
"fraternising": "fraternizing",
|
| 627 |
+
"fulfil": "fulfill",
|
| 628 |
+
"fulfilment": "fulfillment",
|
| 629 |
+
"fulfils": "fulfills",
|
| 630 |
+
"funnelled": "funneled",
|
| 631 |
+
"funnelling": "funneling",
|
| 632 |
+
"gage": "gauge",
|
| 633 |
+
"gaged": "gauged",
|
| 634 |
+
"gages": "gauges",
|
| 635 |
+
"gaging": "gauging",
|
| 636 |
+
"galvanise": "galvanize",
|
| 637 |
+
"galvanised": "galvanized",
|
| 638 |
+
"galvanises": "galvanizes",
|
| 639 |
+
"galvanising": "galvanizing",
|
| 640 |
+
"gambolled": "gamboled",
|
| 641 |
+
"gambolling": "gamboling",
|
| 642 |
+
"gaol": "jail",
|
| 643 |
+
"gaolbird": "jailbird",
|
| 644 |
+
"gaolbirds": "jailbirds",
|
| 645 |
+
"gaolbreak": "jailbreak",
|
| 646 |
+
"gaolbreaks": "jailbreaks",
|
| 647 |
+
"gaoled": "jailed",
|
| 648 |
+
"gaoler": "jailer",
|
| 649 |
+
"gaolers": "jailers",
|
| 650 |
+
"gaoling": "jailing",
|
| 651 |
+
"gaols": "jails",
|
| 652 |
+
"gasses": "gases",
|
| 653 |
+
"generalisation": "generalization",
|
| 654 |
+
"generalisations": "generalizations",
|
| 655 |
+
"generalise": "generalize",
|
| 656 |
+
"generalised": "generalized",
|
| 657 |
+
"generalises": "generalizes",
|
| 658 |
+
"generalising": "generalizing",
|
| 659 |
+
"ghettoise": "ghettoize",
|
| 660 |
+
"ghettoised": "ghettoized",
|
| 661 |
+
"ghettoises": "ghettoizes",
|
| 662 |
+
"ghettoising": "ghettoizing",
|
| 663 |
+
"gipsies": "gypsies",
|
| 664 |
+
"glamor": "glamour",
|
| 665 |
+
"glamorise": "glamorize",
|
| 666 |
+
"glamorised": "glamorized",
|
| 667 |
+
"glamorises": "glamorizes",
|
| 668 |
+
"glamorising": "glamorizing",
|
| 669 |
+
"globalisation": "globalization",
|
| 670 |
+
"globalise": "globalize",
|
| 671 |
+
"globalised": "globalized",
|
| 672 |
+
"globalises": "globalizes",
|
| 673 |
+
"globalising": "globalizing",
|
| 674 |
+
"glueing": "gluing",
|
| 675 |
+
"goitre": "goiter",
|
| 676 |
+
"goitres": "goiters",
|
| 677 |
+
"gonorrhoea": "gonorrhea",
|
| 678 |
+
"gramme": "gram",
|
| 679 |
+
"grammes": "grams",
|
| 680 |
+
"gravelled": "graveled",
|
| 681 |
+
"grey": "gray",
|
| 682 |
+
"greyed": "grayed",
|
| 683 |
+
"greying": "graying",
|
| 684 |
+
"greyish": "grayish",
|
| 685 |
+
"greyness": "grayness",
|
| 686 |
+
"greys": "grays",
|
| 687 |
+
"grovelled": "groveled",
|
| 688 |
+
"grovelling": "groveling",
|
| 689 |
+
"groyne": "groin",
|
| 690 |
+
"groynes": "groins",
|
| 691 |
+
"gruelling": "grueling",
|
| 692 |
+
"gruellingly": "gruelingly",
|
| 693 |
+
"gryphon": "griffin",
|
| 694 |
+
"gryphons": "griffins",
|
| 695 |
+
"gynaecological": "gynecological",
|
| 696 |
+
"gynaecologist": "gynecologist",
|
| 697 |
+
"gynaecologists": "gynecologists",
|
| 698 |
+
"gynaecology": "gynecology",
|
| 699 |
+
"haematological": "hematological",
|
| 700 |
+
"haematologist": "hematologist",
|
| 701 |
+
"haematologists": "hematologists",
|
| 702 |
+
"haematology": "hematology",
|
| 703 |
+
"haemoglobin": "hemoglobin",
|
| 704 |
+
"haemophilia": "hemophilia",
|
| 705 |
+
"haemophiliac": "hemophiliac",
|
| 706 |
+
"haemophiliacs": "hemophiliacs",
|
| 707 |
+
"haemorrhage": "hemorrhage",
|
| 708 |
+
"haemorrhaged": "hemorrhaged",
|
| 709 |
+
"haemorrhages": "hemorrhages",
|
| 710 |
+
"haemorrhaging": "hemorrhaging",
|
| 711 |
+
"haemorrhoids": "hemorrhoids",
|
| 712 |
+
"harbour": "harbor",
|
| 713 |
+
"harboured": "harbored",
|
| 714 |
+
"harbouring": "harboring",
|
| 715 |
+
"harbours": "harbors",
|
| 716 |
+
"harmonisation": "harmonization",
|
| 717 |
+
"harmonise": "harmonize",
|
| 718 |
+
"harmonised": "harmonized",
|
| 719 |
+
"harmonises": "harmonizes",
|
| 720 |
+
"harmonising": "harmonizing",
|
| 721 |
+
"homoeopath": "homeopath",
|
| 722 |
+
"homoeopathic": "homeopathic",
|
| 723 |
+
"homoeopaths": "homeopaths",
|
| 724 |
+
"homoeopathy": "homeopathy",
|
| 725 |
+
"homogenise": "homogenize",
|
| 726 |
+
"homogenised": "homogenized",
|
| 727 |
+
"homogenises": "homogenizes",
|
| 728 |
+
"homogenising": "homogenizing",
|
| 729 |
+
"honour": "honor",
|
| 730 |
+
"honourable": "honorable",
|
| 731 |
+
"honourably": "honorably",
|
| 732 |
+
"honoured": "honored",
|
| 733 |
+
"honouring": "honoring",
|
| 734 |
+
"honours": "honors",
|
| 735 |
+
"hospitalisation": "hospitalization",
|
| 736 |
+
"hospitalise": "hospitalize",
|
| 737 |
+
"hospitalised": "hospitalized",
|
| 738 |
+
"hospitalises": "hospitalizes",
|
| 739 |
+
"hospitalising": "hospitalizing",
|
| 740 |
+
"humanise": "humanize",
|
| 741 |
+
"humanised": "humanized",
|
| 742 |
+
"humanises": "humanizes",
|
| 743 |
+
"humanising": "humanizing",
|
| 744 |
+
"humour": "humor",
|
| 745 |
+
"humoured": "humored",
|
| 746 |
+
"humouring": "humoring",
|
| 747 |
+
"humourless": "humorless",
|
| 748 |
+
"humours": "humors",
|
| 749 |
+
"hybridise": "hybridize",
|
| 750 |
+
"hybridised": "hybridized",
|
| 751 |
+
"hybridises": "hybridizes",
|
| 752 |
+
"hybridising": "hybridizing",
|
| 753 |
+
"hypnotise": "hypnotize",
|
| 754 |
+
"hypnotised": "hypnotized",
|
| 755 |
+
"hypnotises": "hypnotizes",
|
| 756 |
+
"hypnotising": "hypnotizing",
|
| 757 |
+
"hypothesise": "hypothesize",
|
| 758 |
+
"hypothesised": "hypothesized",
|
| 759 |
+
"hypothesises": "hypothesizes",
|
| 760 |
+
"hypothesising": "hypothesizing",
|
| 761 |
+
"idealisation": "idealization",
|
| 762 |
+
"idealise": "idealize",
|
| 763 |
+
"idealised": "idealized",
|
| 764 |
+
"idealises": "idealizes",
|
| 765 |
+
"idealising": "idealizing",
|
| 766 |
+
"idolise": "idolize",
|
| 767 |
+
"idolised": "idolized",
|
| 768 |
+
"idolises": "idolizes",
|
| 769 |
+
"idolising": "idolizing",
|
| 770 |
+
"immobilisation": "immobilization",
|
| 771 |
+
"immobilise": "immobilize",
|
| 772 |
+
"immobilised": "immobilized",
|
| 773 |
+
"immobiliser": "immobilizer",
|
| 774 |
+
"immobilisers": "immobilizers",
|
| 775 |
+
"immobilises": "immobilizes",
|
| 776 |
+
"immobilising": "immobilizing",
|
| 777 |
+
"immortalise": "immortalize",
|
| 778 |
+
"immortalised": "immortalized",
|
| 779 |
+
"immortalises": "immortalizes",
|
| 780 |
+
"immortalising": "immortalizing",
|
| 781 |
+
"immunisation": "immunization",
|
| 782 |
+
"immunise": "immunize",
|
| 783 |
+
"immunised": "immunized",
|
| 784 |
+
"immunises": "immunizes",
|
| 785 |
+
"immunising": "immunizing",
|
| 786 |
+
"impanelled": "impaneled",
|
| 787 |
+
"impanelling": "impaneling",
|
| 788 |
+
"imperilled": "imperiled",
|
| 789 |
+
"imperilling": "imperiling",
|
| 790 |
+
"individualise": "individualize",
|
| 791 |
+
"individualised": "individualized",
|
| 792 |
+
"individualises": "individualizes",
|
| 793 |
+
"individualising": "individualizing",
|
| 794 |
+
"industrialise": "industrialize",
|
| 795 |
+
"industrialised": "industrialized",
|
| 796 |
+
"industrialises": "industrializes",
|
| 797 |
+
"industrialising": "industrializing",
|
| 798 |
+
"inflexion": "inflection",
|
| 799 |
+
"inflexions": "inflections",
|
| 800 |
+
"initialise": "initialize",
|
| 801 |
+
"initialised": "initialized",
|
| 802 |
+
"initialises": "initializes",
|
| 803 |
+
"initialising": "initializing",
|
| 804 |
+
"initialled": "initialed",
|
| 805 |
+
"initialling": "initialing",
|
| 806 |
+
"instal": "install",
|
| 807 |
+
"instalment": "installment",
|
| 808 |
+
"instalments": "installments",
|
| 809 |
+
"instals": "installs",
|
| 810 |
+
"instil": "instill",
|
| 811 |
+
"instils": "instills",
|
| 812 |
+
"institutionalisation": "institutionalization",
|
| 813 |
+
"institutionalise": "institutionalize",
|
| 814 |
+
"institutionalised": "institutionalized",
|
| 815 |
+
"institutionalises": "institutionalizes",
|
| 816 |
+
"institutionalising": "institutionalizing",
|
| 817 |
+
"intellectualise": "intellectualize",
|
| 818 |
+
"intellectualised": "intellectualized",
|
| 819 |
+
"intellectualises": "intellectualizes",
|
| 820 |
+
"intellectualising": "intellectualizing",
|
| 821 |
+
"internalisation": "internalization",
|
| 822 |
+
"internalise": "internalize",
|
| 823 |
+
"internalised": "internalized",
|
| 824 |
+
"internalises": "internalizes",
|
| 825 |
+
"internalising": "internalizing",
|
| 826 |
+
"internationalisation": "internationalization",
|
| 827 |
+
"internationalise": "internationalize",
|
| 828 |
+
"internationalised": "internationalized",
|
| 829 |
+
"internationalises": "internationalizes",
|
| 830 |
+
"internationalising": "internationalizing",
|
| 831 |
+
"ionisation": "ionization",
|
| 832 |
+
"ionise": "ionize",
|
| 833 |
+
"ionised": "ionized",
|
| 834 |
+
"ioniser": "ionizer",
|
| 835 |
+
"ionisers": "ionizers",
|
| 836 |
+
"ionises": "ionizes",
|
| 837 |
+
"ionising": "ionizing",
|
| 838 |
+
"italicise": "italicize",
|
| 839 |
+
"italicised": "italicized",
|
| 840 |
+
"italicises": "italicizes",
|
| 841 |
+
"italicising": "italicizing",
|
| 842 |
+
"itemise": "itemize",
|
| 843 |
+
"itemised": "itemized",
|
| 844 |
+
"itemises": "itemizes",
|
| 845 |
+
"itemising": "itemizing",
|
| 846 |
+
"jeopardise": "jeopardize",
|
| 847 |
+
"jeopardised": "jeopardized",
|
| 848 |
+
"jeopardises": "jeopardizes",
|
| 849 |
+
"jeopardising": "jeopardizing",
|
| 850 |
+
"jewelled": "jeweled",
|
| 851 |
+
"jeweller": "jeweler",
|
| 852 |
+
"jewellers": "jewelers",
|
| 853 |
+
"jewellery": "jewelry",
|
| 854 |
+
"judgement": "judgment",
|
| 855 |
+
"kilogramme": "kilogram",
|
| 856 |
+
"kilogrammes": "kilograms",
|
| 857 |
+
"kilometre": "kilometer",
|
| 858 |
+
"kilometres": "kilometers",
|
| 859 |
+
"labelled": "labeled",
|
| 860 |
+
"labelling": "labeling",
|
| 861 |
+
"labour": "labor",
|
| 862 |
+
"laboured": "labored",
|
| 863 |
+
"labourer": "laborer",
|
| 864 |
+
"labourers": "laborers",
|
| 865 |
+
"labouring": "laboring",
|
| 866 |
+
"labours": "labors",
|
| 867 |
+
"lacklustre": "lackluster",
|
| 868 |
+
"legalisation": "legalization",
|
| 869 |
+
"legalise": "legalize",
|
| 870 |
+
"legalised": "legalized",
|
| 871 |
+
"legalises": "legalizes",
|
| 872 |
+
"legalising": "legalizing",
|
| 873 |
+
"legitimise": "legitimize",
|
| 874 |
+
"legitimised": "legitimized",
|
| 875 |
+
"legitimises": "legitimizes",
|
| 876 |
+
"legitimising": "legitimizing",
|
| 877 |
+
"leukaemia": "leukemia",
|
| 878 |
+
"levelled": "leveled",
|
| 879 |
+
"leveller": "leveler",
|
| 880 |
+
"levellers": "levelers",
|
| 881 |
+
"levelling": "leveling",
|
| 882 |
+
"libelled": "libeled",
|
| 883 |
+
"libelling": "libeling",
|
| 884 |
+
"libellous": "libelous",
|
| 885 |
+
"liberalisation": "liberalization",
|
| 886 |
+
"liberalise": "liberalize",
|
| 887 |
+
"liberalised": "liberalized",
|
| 888 |
+
"liberalises": "liberalizes",
|
| 889 |
+
"liberalising": "liberalizing",
|
| 890 |
+
"licence": "license",
|
| 891 |
+
"licenced": "licensed",
|
| 892 |
+
"licences": "licenses",
|
| 893 |
+
"licencing": "licensing",
|
| 894 |
+
"likeable": "likable",
|
| 895 |
+
"lionisation": "lionization",
|
| 896 |
+
"lionise": "lionize",
|
| 897 |
+
"lionised": "lionized",
|
| 898 |
+
"lionises": "lionizes",
|
| 899 |
+
"lionising": "lionizing",
|
| 900 |
+
"liquidise": "liquidize",
|
| 901 |
+
"liquidised": "liquidized",
|
| 902 |
+
"liquidiser": "liquidizer",
|
| 903 |
+
"liquidisers": "liquidizers",
|
| 904 |
+
"liquidises": "liquidizes",
|
| 905 |
+
"liquidising": "liquidizing",
|
| 906 |
+
"litre": "liter",
|
| 907 |
+
"litres": "liters",
|
| 908 |
+
"localise": "localize",
|
| 909 |
+
"localised": "localized",
|
| 910 |
+
"localises": "localizes",
|
| 911 |
+
"localising": "localizing",
|
| 912 |
+
"louvre": "louver",
|
| 913 |
+
"louvred": "louvered",
|
| 914 |
+
"louvres": "louvers",
|
| 915 |
+
"lustre": "luster",
|
| 916 |
+
"magnetise": "magnetize",
|
| 917 |
+
"magnetised": "magnetized",
|
| 918 |
+
"magnetises": "magnetizes",
|
| 919 |
+
"magnetising": "magnetizing",
|
| 920 |
+
"manoeuvrability": "maneuverability",
|
| 921 |
+
"manoeuvrable": "maneuverable",
|
| 922 |
+
"manoeuvre": "maneuver",
|
| 923 |
+
"manoeuvred": "maneuvered",
|
| 924 |
+
"manoeuvres": "maneuvers",
|
| 925 |
+
"manoeuvring": "maneuvering",
|
| 926 |
+
"manoeuvrings": "maneuverings",
|
| 927 |
+
"marginalisation": "marginalization",
|
| 928 |
+
"marginalise": "marginalize",
|
| 929 |
+
"marginalised": "marginalized",
|
| 930 |
+
"marginalises": "marginalizes",
|
| 931 |
+
"marginalising": "marginalizing",
|
| 932 |
+
"marshalled": "marshaled",
|
| 933 |
+
"marshalling": "marshaling",
|
| 934 |
+
"marvelled": "marveled",
|
| 935 |
+
"marvelling": "marveling",
|
| 936 |
+
"marvellous": "marvelous",
|
| 937 |
+
"marvellously": "marvelously",
|
| 938 |
+
"materialisation": "materialization",
|
| 939 |
+
"materialise": "materialize",
|
| 940 |
+
"materialised": "materialized",
|
| 941 |
+
"materialises": "materializes",
|
| 942 |
+
"materialising": "materializing",
|
| 943 |
+
"maximisation": "maximization",
|
| 944 |
+
"maximise": "maximize",
|
| 945 |
+
"maximised": "maximized",
|
| 946 |
+
"maximises": "maximizes",
|
| 947 |
+
"maximising": "maximizing",
|
| 948 |
+
"meagre": "meager",
|
| 949 |
+
"mechanisation": "mechanization",
|
| 950 |
+
"mechanise": "mechanize",
|
| 951 |
+
"mechanised": "mechanized",
|
| 952 |
+
"mechanises": "mechanizes",
|
| 953 |
+
"mechanising": "mechanizing",
|
| 954 |
+
"mediaeval": "medieval",
|
| 955 |
+
"memorialise": "memorialize",
|
| 956 |
+
"memorialised": "memorialized",
|
| 957 |
+
"memorialises": "memorializes",
|
| 958 |
+
"memorialising": "memorializing",
|
| 959 |
+
"memorise": "memorize",
|
| 960 |
+
"memorised": "memorized",
|
| 961 |
+
"memorises": "memorizes",
|
| 962 |
+
"memorising": "memorizing",
|
| 963 |
+
"mesmerise": "mesmerize",
|
| 964 |
+
"mesmerised": "mesmerized",
|
| 965 |
+
"mesmerises": "mesmerizes",
|
| 966 |
+
"mesmerising": "mesmerizing",
|
| 967 |
+
"metabolise": "metabolize",
|
| 968 |
+
"metabolised": "metabolized",
|
| 969 |
+
"metabolises": "metabolizes",
|
| 970 |
+
"metabolising": "metabolizing",
|
| 971 |
+
"metre": "meter",
|
| 972 |
+
"metres": "meters",
|
| 973 |
+
"mhm": "hmm",
|
| 974 |
+
"micrometre": "micrometer",
|
| 975 |
+
"micrometres": "micrometers",
|
| 976 |
+
"militarise": "militarize",
|
| 977 |
+
"militarised": "militarized",
|
| 978 |
+
"militarises": "militarizes",
|
| 979 |
+
"militarising": "militarizing",
|
| 980 |
+
"milligramme": "milligram",
|
| 981 |
+
"milligrammes": "milligrams",
|
| 982 |
+
"millilitre": "milliliter",
|
| 983 |
+
"millilitres": "milliliters",
|
| 984 |
+
"millimetre": "millimeter",
|
| 985 |
+
"millimetres": "millimeters",
|
| 986 |
+
"miniaturisation": "miniaturization",
|
| 987 |
+
"miniaturise": "miniaturize",
|
| 988 |
+
"miniaturised": "miniaturized",
|
| 989 |
+
"miniaturises": "miniaturizes",
|
| 990 |
+
"miniaturising": "miniaturizing",
|
| 991 |
+
"minibusses": "minibuses",
|
| 992 |
+
"minimise": "minimize",
|
| 993 |
+
"minimised": "minimized",
|
| 994 |
+
"minimises": "minimizes",
|
| 995 |
+
"minimising": "minimizing",
|
| 996 |
+
"misbehaviour": "misbehavior",
|
| 997 |
+
"misdemeanour": "misdemeanor",
|
| 998 |
+
"misdemeanours": "misdemeanors",
|
| 999 |
+
"misspelt": "misspelled",
|
| 1000 |
+
"mitre": "miter",
|
| 1001 |
+
"mitres": "miters",
|
| 1002 |
+
"mm": "hmm",
|
| 1003 |
+
"mmm": "hmm",
|
| 1004 |
+
"mobilisation": "mobilization",
|
| 1005 |
+
"mobilise": "mobilize",
|
| 1006 |
+
"mobilised": "mobilized",
|
| 1007 |
+
"mobilises": "mobilizes",
|
| 1008 |
+
"mobilising": "mobilizing",
|
| 1009 |
+
"modelled": "modeled",
|
| 1010 |
+
"modeller": "modeler",
|
| 1011 |
+
"modellers": "modelers",
|
| 1012 |
+
"modelling": "modeling",
|
| 1013 |
+
"modernise": "modernize",
|
| 1014 |
+
"modernised": "modernized",
|
| 1015 |
+
"modernises": "modernizes",
|
| 1016 |
+
"modernising": "modernizing",
|
| 1017 |
+
"moisturise": "moisturize",
|
| 1018 |
+
"moisturised": "moisturized",
|
| 1019 |
+
"moisturiser": "moisturizer",
|
| 1020 |
+
"moisturisers": "moisturizers",
|
| 1021 |
+
"moisturises": "moisturizes",
|
| 1022 |
+
"moisturising": "moisturizing",
|
| 1023 |
+
"monologue": "monolog",
|
| 1024 |
+
"monologues": "monologs",
|
| 1025 |
+
"monopolisation": "monopolization",
|
| 1026 |
+
"monopolise": "monopolize",
|
| 1027 |
+
"monopolised": "monopolized",
|
| 1028 |
+
"monopolises": "monopolizes",
|
| 1029 |
+
"monopolising": "monopolizing",
|
| 1030 |
+
"moralise": "moralize",
|
| 1031 |
+
"moralised": "moralized",
|
| 1032 |
+
"moralises": "moralizes",
|
| 1033 |
+
"moralising": "moralizing",
|
| 1034 |
+
"motorised": "motorized",
|
| 1035 |
+
"mould": "mold",
|
| 1036 |
+
"moulded": "molded",
|
| 1037 |
+
"moulder": "molder",
|
| 1038 |
+
"mouldered": "moldered",
|
| 1039 |
+
"mouldering": "moldering",
|
| 1040 |
+
"moulders": "molders",
|
| 1041 |
+
"mouldier": "moldier",
|
| 1042 |
+
"mouldiest": "moldiest",
|
| 1043 |
+
"moulding": "molding",
|
| 1044 |
+
"mouldings": "moldings",
|
| 1045 |
+
"moulds": "molds",
|
| 1046 |
+
"mouldy": "moldy",
|
| 1047 |
+
"moult": "molt",
|
| 1048 |
+
"moulted": "molted",
|
| 1049 |
+
"moulting": "molting",
|
| 1050 |
+
"moults": "molts",
|
| 1051 |
+
"moustache": "mustache",
|
| 1052 |
+
"moustached": "mustached",
|
| 1053 |
+
"moustaches": "mustaches",
|
| 1054 |
+
"moustachioed": "mustachioed",
|
| 1055 |
+
"multicoloured": "multicolored",
|
| 1056 |
+
"nationalisation": "nationalization",
|
| 1057 |
+
"nationalisations": "nationalizations",
|
| 1058 |
+
"nationalise": "nationalize",
|
| 1059 |
+
"nationalised": "nationalized",
|
| 1060 |
+
"nationalises": "nationalizes",
|
| 1061 |
+
"nationalising": "nationalizing",
|
| 1062 |
+
"naturalisation": "naturalization",
|
| 1063 |
+
"naturalise": "naturalize",
|
| 1064 |
+
"naturalised": "naturalized",
|
| 1065 |
+
"naturalises": "naturalizes",
|
| 1066 |
+
"naturalising": "naturalizing",
|
| 1067 |
+
"neighbour": "neighbor",
|
| 1068 |
+
"neighbourhood": "neighborhood",
|
| 1069 |
+
"neighbourhoods": "neighborhoods",
|
| 1070 |
+
"neighbouring": "neighboring",
|
| 1071 |
+
"neighbourliness": "neighborliness",
|
| 1072 |
+
"neighbourly": "neighborly",
|
| 1073 |
+
"neighbours": "neighbors",
|
| 1074 |
+
"neutralisation": "neutralization",
|
| 1075 |
+
"neutralise": "neutralize",
|
| 1076 |
+
"neutralised": "neutralized",
|
| 1077 |
+
"neutralises": "neutralizes",
|
| 1078 |
+
"neutralising": "neutralizing",
|
| 1079 |
+
"normalisation": "normalization",
|
| 1080 |
+
"normalise": "normalize",
|
| 1081 |
+
"normalised": "normalized",
|
| 1082 |
+
"normalises": "normalizes",
|
| 1083 |
+
"normalising": "normalizing",
|
| 1084 |
+
"odour": "odor",
|
| 1085 |
+
"odourless": "odorless",
|
| 1086 |
+
"odours": "odors",
|
| 1087 |
+
"oesophagus": "esophagus",
|
| 1088 |
+
"oesophaguses": "esophaguses",
|
| 1089 |
+
"oestrogen": "estrogen",
|
| 1090 |
+
"offence": "offense",
|
| 1091 |
+
"offences": "offenses",
|
| 1092 |
+
"omelette": "omelet",
|
| 1093 |
+
"omelettes": "omelets",
|
| 1094 |
+
"optimise": "optimize",
|
| 1095 |
+
"optimised": "optimized",
|
| 1096 |
+
"optimises": "optimizes",
|
| 1097 |
+
"optimising": "optimizing",
|
| 1098 |
+
"organisation": "organization",
|
| 1099 |
+
"organisational": "organizational",
|
| 1100 |
+
"organisations": "organizations",
|
| 1101 |
+
"organise": "organize",
|
| 1102 |
+
"organised": "organized",
|
| 1103 |
+
"organiser": "organizer",
|
| 1104 |
+
"organisers": "organizers",
|
| 1105 |
+
"organises": "organizes",
|
| 1106 |
+
"organising": "organizing",
|
| 1107 |
+
"orthopaedic": "orthopedic",
|
| 1108 |
+
"orthopaedics": "orthopedics",
|
| 1109 |
+
"ostracise": "ostracize",
|
| 1110 |
+
"ostracised": "ostracized",
|
| 1111 |
+
"ostracises": "ostracizes",
|
| 1112 |
+
"ostracising": "ostracizing",
|
| 1113 |
+
"outmanoeuvre": "outmaneuver",
|
| 1114 |
+
"outmanoeuvred": "outmaneuvered",
|
| 1115 |
+
"outmanoeuvres": "outmaneuvers",
|
| 1116 |
+
"outmanoeuvring": "outmaneuvering",
|
| 1117 |
+
"overemphasise": "overemphasize",
|
| 1118 |
+
"overemphasised": "overemphasized",
|
| 1119 |
+
"overemphasises": "overemphasizes",
|
| 1120 |
+
"overemphasising": "overemphasizing",
|
| 1121 |
+
"oxidisation": "oxidization",
|
| 1122 |
+
"oxidise": "oxidize",
|
| 1123 |
+
"oxidised": "oxidized",
|
| 1124 |
+
"oxidises": "oxidizes",
|
| 1125 |
+
"oxidising": "oxidizing",
|
| 1126 |
+
"paederast": "pederast",
|
| 1127 |
+
"paederasts": "pederasts",
|
| 1128 |
+
"paediatric": "pediatric",
|
| 1129 |
+
"paediatrician": "pediatrician",
|
| 1130 |
+
"paediatricians": "pediatricians",
|
| 1131 |
+
"paediatrics": "pediatrics",
|
| 1132 |
+
"paedophile": "pedophile",
|
| 1133 |
+
"paedophiles": "pedophiles",
|
| 1134 |
+
"paedophilia": "pedophilia",
|
| 1135 |
+
"palaeolithic": "paleolithic",
|
| 1136 |
+
"palaeontologist": "paleontologist",
|
| 1137 |
+
"palaeontologists": "paleontologists",
|
| 1138 |
+
"palaeontology": "paleontology",
|
| 1139 |
+
"panelled": "paneled",
|
| 1140 |
+
"panelling": "paneling",
|
| 1141 |
+
"panellist": "panelist",
|
| 1142 |
+
"panellists": "panelists",
|
| 1143 |
+
"paralyse": "paralyze",
|
| 1144 |
+
"paralysed": "paralyzed",
|
| 1145 |
+
"paralyses": "paralyzes",
|
| 1146 |
+
"paralysing": "paralyzing",
|
| 1147 |
+
"parcelled": "parceled",
|
| 1148 |
+
"parcelling": "parceling",
|
| 1149 |
+
"parlour": "parlor",
|
| 1150 |
+
"parlours": "parlors",
|
| 1151 |
+
"particularise": "particularize",
|
| 1152 |
+
"particularised": "particularized",
|
| 1153 |
+
"particularises": "particularizes",
|
| 1154 |
+
"particularising": "particularizing",
|
| 1155 |
+
"passivisation": "passivization",
|
| 1156 |
+
"passivise": "passivize",
|
| 1157 |
+
"passivised": "passivized",
|
| 1158 |
+
"passivises": "passivizes",
|
| 1159 |
+
"passivising": "passivizing",
|
| 1160 |
+
"pasteurisation": "pasteurization",
|
| 1161 |
+
"pasteurise": "pasteurize",
|
| 1162 |
+
"pasteurised": "pasteurized",
|
| 1163 |
+
"pasteurises": "pasteurizes",
|
| 1164 |
+
"pasteurising": "pasteurizing",
|
| 1165 |
+
"patronise": "patronize",
|
| 1166 |
+
"patronised": "patronized",
|
| 1167 |
+
"patronises": "patronizes",
|
| 1168 |
+
"patronising": "patronizing",
|
| 1169 |
+
"patronisingly": "patronizingly",
|
| 1170 |
+
"pedalled": "pedaled",
|
| 1171 |
+
"pedalling": "pedaling",
|
| 1172 |
+
"pedestrianisation": "pedestrianization",
|
| 1173 |
+
"pedestrianise": "pedestrianize",
|
| 1174 |
+
"pedestrianised": "pedestrianized",
|
| 1175 |
+
"pedestrianises": "pedestrianizes",
|
| 1176 |
+
"pedestrianising": "pedestrianizing",
|
| 1177 |
+
"penalise": "penalize",
|
| 1178 |
+
"penalised": "penalized",
|
| 1179 |
+
"penalises": "penalizes",
|
| 1180 |
+
"penalising": "penalizing",
|
| 1181 |
+
"pencilled": "penciled",
|
| 1182 |
+
"pencilling": "penciling",
|
| 1183 |
+
"personalise": "personalize",
|
| 1184 |
+
"personalised": "personalized",
|
| 1185 |
+
"personalises": "personalizes",
|
| 1186 |
+
"personalising": "personalizing",
|
| 1187 |
+
"pharmacopoeia": "pharmacopeia",
|
| 1188 |
+
"pharmacopoeias": "pharmacopeias",
|
| 1189 |
+
"philosophise": "philosophize",
|
| 1190 |
+
"philosophised": "philosophized",
|
| 1191 |
+
"philosophises": "philosophizes",
|
| 1192 |
+
"philosophising": "philosophizing",
|
| 1193 |
+
"philtre": "filter",
|
| 1194 |
+
"philtres": "filters",
|
| 1195 |
+
"phoney": "phony",
|
| 1196 |
+
"plagiarise": "plagiarize",
|
| 1197 |
+
"plagiarised": "plagiarized",
|
| 1198 |
+
"plagiarises": "plagiarizes",
|
| 1199 |
+
"plagiarising": "plagiarizing",
|
| 1200 |
+
"plough": "plow",
|
| 1201 |
+
"ploughed": "plowed",
|
| 1202 |
+
"ploughing": "plowing",
|
| 1203 |
+
"ploughman": "plowman",
|
| 1204 |
+
"ploughmen": "plowmen",
|
| 1205 |
+
"ploughs": "plows",
|
| 1206 |
+
"ploughshare": "plowshare",
|
| 1207 |
+
"ploughshares": "plowshares",
|
| 1208 |
+
"polarisation": "polarization",
|
| 1209 |
+
"polarise": "polarize",
|
| 1210 |
+
"polarised": "polarized",
|
| 1211 |
+
"polarises": "polarizes",
|
| 1212 |
+
"polarising": "polarizing",
|
| 1213 |
+
"politicisation": "politicization",
|
| 1214 |
+
"politicise": "politicize",
|
| 1215 |
+
"politicised": "politicized",
|
| 1216 |
+
"politicises": "politicizes",
|
| 1217 |
+
"politicising": "politicizing",
|
| 1218 |
+
"popularisation": "popularization",
|
| 1219 |
+
"popularise": "popularize",
|
| 1220 |
+
"popularised": "popularized",
|
| 1221 |
+
"popularises": "popularizes",
|
| 1222 |
+
"popularising": "popularizing",
|
| 1223 |
+
"pouffe": "pouf",
|
| 1224 |
+
"pouffes": "poufs",
|
| 1225 |
+
"practise": "practice",
|
| 1226 |
+
"practised": "practiced",
|
| 1227 |
+
"practises": "practices",
|
| 1228 |
+
"practising": "practicing",
|
| 1229 |
+
"praesidium": "presidium",
|
| 1230 |
+
"praesidiums": "presidiums",
|
| 1231 |
+
"pressurisation": "pressurization",
|
| 1232 |
+
"pressurise": "pressurize",
|
| 1233 |
+
"pressurised": "pressurized",
|
| 1234 |
+
"pressurises": "pressurizes",
|
| 1235 |
+
"pressurising": "pressurizing",
|
| 1236 |
+
"pretence": "pretense",
|
| 1237 |
+
"pretences": "pretenses",
|
| 1238 |
+
"primaeval": "primeval",
|
| 1239 |
+
"prioritisation": "prioritization",
|
| 1240 |
+
"prioritise": "prioritize",
|
| 1241 |
+
"prioritised": "prioritized",
|
| 1242 |
+
"prioritises": "prioritizes",
|
| 1243 |
+
"prioritising": "prioritizing",
|
| 1244 |
+
"privatisation": "privatization",
|
| 1245 |
+
"privatisations": "privatizations",
|
| 1246 |
+
"privatise": "privatize",
|
| 1247 |
+
"privatised": "privatized",
|
| 1248 |
+
"privatises": "privatizes",
|
| 1249 |
+
"privatising": "privatizing",
|
| 1250 |
+
"professionalisation": "professionalization",
|
| 1251 |
+
"professionalise": "professionalize",
|
| 1252 |
+
"professionalised": "professionalized",
|
| 1253 |
+
"professionalises": "professionalizes",
|
| 1254 |
+
"professionalising": "professionalizing",
|
| 1255 |
+
"programme": "program",
|
| 1256 |
+
"programmes": "programs",
|
| 1257 |
+
"prologue": "prolog",
|
| 1258 |
+
"prologues": "prologs",
|
| 1259 |
+
"propagandise": "propagandize",
|
| 1260 |
+
"propagandised": "propagandized",
|
| 1261 |
+
"propagandises": "propagandizes",
|
| 1262 |
+
"propagandising": "propagandizing",
|
| 1263 |
+
"proselytise": "proselytize",
|
| 1264 |
+
"proselytised": "proselytized",
|
| 1265 |
+
"proselytiser": "proselytizer",
|
| 1266 |
+
"proselytisers": "proselytizers",
|
| 1267 |
+
"proselytises": "proselytizes",
|
| 1268 |
+
"proselytising": "proselytizing",
|
| 1269 |
+
"psychoanalyse": "psychoanalyze",
|
| 1270 |
+
"psychoanalysed": "psychoanalyzed",
|
| 1271 |
+
"psychoanalyses": "psychoanalyzes",
|
| 1272 |
+
"psychoanalysing": "psychoanalyzing",
|
| 1273 |
+
"publicise": "publicize",
|
| 1274 |
+
"publicised": "publicized",
|
| 1275 |
+
"publicises": "publicizes",
|
| 1276 |
+
"publicising": "publicizing",
|
| 1277 |
+
"pulverisation": "pulverization",
|
| 1278 |
+
"pulverise": "pulverize",
|
| 1279 |
+
"pulverised": "pulverized",
|
| 1280 |
+
"pulverises": "pulverizes",
|
| 1281 |
+
"pulverising": "pulverizing",
|
| 1282 |
+
"pummelled": "pummel",
|
| 1283 |
+
"pummelling": "pummeled",
|
| 1284 |
+
"pyjama": "pajama",
|
| 1285 |
+
"pyjamas": "pajamas",
|
| 1286 |
+
"pzazz": "pizzazz",
|
| 1287 |
+
"quarrelled": "quarreled",
|
| 1288 |
+
"quarrelling": "quarreling",
|
| 1289 |
+
"radicalise": "radicalize",
|
| 1290 |
+
"radicalised": "radicalized",
|
| 1291 |
+
"radicalises": "radicalizes",
|
| 1292 |
+
"radicalising": "radicalizing",
|
| 1293 |
+
"rancour": "rancor",
|
| 1294 |
+
"randomise": "randomize",
|
| 1295 |
+
"randomised": "randomized",
|
| 1296 |
+
"randomises": "randomizes",
|
| 1297 |
+
"randomising": "randomizing",
|
| 1298 |
+
"rationalisation": "rationalization",
|
| 1299 |
+
"rationalisations": "rationalizations",
|
| 1300 |
+
"rationalise": "rationalize",
|
| 1301 |
+
"rationalised": "rationalized",
|
| 1302 |
+
"rationalises": "rationalizes",
|
| 1303 |
+
"rationalising": "rationalizing",
|
| 1304 |
+
"ravelled": "raveled",
|
| 1305 |
+
"ravelling": "raveling",
|
| 1306 |
+
"realisable": "realizable",
|
| 1307 |
+
"realisation": "realization",
|
| 1308 |
+
"realisations": "realizations",
|
| 1309 |
+
"realise": "realize",
|
| 1310 |
+
"realised": "realized",
|
| 1311 |
+
"realises": "realizes",
|
| 1312 |
+
"realising": "realizing",
|
| 1313 |
+
"recognisable": "recognizable",
|
| 1314 |
+
"recognisably": "recognizably",
|
| 1315 |
+
"recognisance": "recognizance",
|
| 1316 |
+
"recognise": "recognize",
|
| 1317 |
+
"recognised": "recognized",
|
| 1318 |
+
"recognises": "recognizes",
|
| 1319 |
+
"recognising": "recognizing",
|
| 1320 |
+
"reconnoitre": "reconnoiter",
|
| 1321 |
+
"reconnoitred": "reconnoitered",
|
| 1322 |
+
"reconnoitres": "reconnoiters",
|
| 1323 |
+
"reconnoitring": "reconnoitering",
|
| 1324 |
+
"refuelled": "refueled",
|
| 1325 |
+
"refuelling": "refueling",
|
| 1326 |
+
"regularisation": "regularization",
|
| 1327 |
+
"regularise": "regularize",
|
| 1328 |
+
"regularised": "regularized",
|
| 1329 |
+
"regularises": "regularizes",
|
| 1330 |
+
"regularising": "regularizing",
|
| 1331 |
+
"remodelled": "remodeled",
|
| 1332 |
+
"remodelling": "remodeling",
|
| 1333 |
+
"remould": "remold",
|
| 1334 |
+
"remoulded": "remolded",
|
| 1335 |
+
"remoulding": "remolding",
|
| 1336 |
+
"remoulds": "remolds",
|
| 1337 |
+
"reorganisation": "reorganization",
|
| 1338 |
+
"reorganisations": "reorganizations",
|
| 1339 |
+
"reorganise": "reorganize",
|
| 1340 |
+
"reorganised": "reorganized",
|
| 1341 |
+
"reorganises": "reorganizes",
|
| 1342 |
+
"reorganising": "reorganizing",
|
| 1343 |
+
"revelled": "reveled",
|
| 1344 |
+
"reveller": "reveler",
|
| 1345 |
+
"revellers": "revelers",
|
| 1346 |
+
"revelling": "reveling",
|
| 1347 |
+
"revitalise": "revitalize",
|
| 1348 |
+
"revitalised": "revitalized",
|
| 1349 |
+
"revitalises": "revitalizes",
|
| 1350 |
+
"revitalising": "revitalizing",
|
| 1351 |
+
"revolutionise": "revolutionize",
|
| 1352 |
+
"revolutionised": "revolutionized",
|
| 1353 |
+
"revolutionises": "revolutionizes",
|
| 1354 |
+
"revolutionising": "revolutionizing",
|
| 1355 |
+
"rhapsodise": "rhapsodize",
|
| 1356 |
+
"rhapsodised": "rhapsodized",
|
| 1357 |
+
"rhapsodises": "rhapsodizes",
|
| 1358 |
+
"rhapsodising": "rhapsodizing",
|
| 1359 |
+
"rigour": "rigor",
|
| 1360 |
+
"rigours": "rigors",
|
| 1361 |
+
"ritualised": "ritualized",
|
| 1362 |
+
"rivalled": "rivaled",
|
| 1363 |
+
"rivalling": "rivaling",
|
| 1364 |
+
"romanticise": "romanticize",
|
| 1365 |
+
"romanticised": "romanticized",
|
| 1366 |
+
"romanticises": "romanticizes",
|
| 1367 |
+
"romanticising": "romanticizing",
|
| 1368 |
+
"rumour": "rumor",
|
| 1369 |
+
"rumoured": "rumored",
|
| 1370 |
+
"rumours": "rumors",
|
| 1371 |
+
"sabre": "saber",
|
| 1372 |
+
"sabres": "sabers",
|
| 1373 |
+
"saltpetre": "saltpeter",
|
| 1374 |
+
"sanitise": "sanitize",
|
| 1375 |
+
"sanitised": "sanitized",
|
| 1376 |
+
"sanitises": "sanitizes",
|
| 1377 |
+
"sanitising": "sanitizing",
|
| 1378 |
+
"satirise": "satirize",
|
| 1379 |
+
"satirised": "satirized",
|
| 1380 |
+
"satirises": "satirizes",
|
| 1381 |
+
"satirising": "satirizing",
|
| 1382 |
+
"saviour": "savior",
|
| 1383 |
+
"saviours": "saviors",
|
| 1384 |
+
"savour": "savor",
|
| 1385 |
+
"savoured": "savored",
|
| 1386 |
+
"savouries": "savories",
|
| 1387 |
+
"savouring": "savoring",
|
| 1388 |
+
"savours": "savors",
|
| 1389 |
+
"savoury": "savory",
|
| 1390 |
+
"scandalise": "scandalize",
|
| 1391 |
+
"scandalised": "scandalized",
|
| 1392 |
+
"scandalises": "scandalizes",
|
| 1393 |
+
"scandalising": "scandalizing",
|
| 1394 |
+
"sceptic": "skeptic",
|
| 1395 |
+
"sceptical": "skeptical",
|
| 1396 |
+
"sceptically": "skeptically",
|
| 1397 |
+
"scepticism": "skepticism",
|
| 1398 |
+
"sceptics": "skeptics",
|
| 1399 |
+
"sceptre": "scepter",
|
| 1400 |
+
"sceptres": "scepters",
|
| 1401 |
+
"scrutinise": "scrutinize",
|
| 1402 |
+
"scrutinised": "scrutinized",
|
| 1403 |
+
"scrutinises": "scrutinizes",
|
| 1404 |
+
"scrutinising": "scrutinizing",
|
| 1405 |
+
"secularisation": "secularization",
|
| 1406 |
+
"secularise": "secularize",
|
| 1407 |
+
"secularised": "secularized",
|
| 1408 |
+
"secularises": "secularizes",
|
| 1409 |
+
"secularising": "secularizing",
|
| 1410 |
+
"sensationalise": "sensationalize",
|
| 1411 |
+
"sensationalised": "sensationalized",
|
| 1412 |
+
"sensationalises": "sensationalizes",
|
| 1413 |
+
"sensationalising": "sensationalizing",
|
| 1414 |
+
"sensitise": "sensitize",
|
| 1415 |
+
"sensitised": "sensitized",
|
| 1416 |
+
"sensitises": "sensitizes",
|
| 1417 |
+
"sensitising": "sensitizing",
|
| 1418 |
+
"sentimentalise": "sentimentalize",
|
| 1419 |
+
"sentimentalised": "sentimentalized",
|
| 1420 |
+
"sentimentalises": "sentimentalizes",
|
| 1421 |
+
"sentimentalising": "sentimentalizing",
|
| 1422 |
+
"sepulchre": "sepulcher",
|
| 1423 |
+
"sepulchres": "sepulchers",
|
| 1424 |
+
"serialisation": "serialization",
|
| 1425 |
+
"serialisations": "serializations",
|
| 1426 |
+
"serialise": "serialize",
|
| 1427 |
+
"serialised": "serialized",
|
| 1428 |
+
"serialises": "serializes",
|
| 1429 |
+
"serialising": "serializing",
|
| 1430 |
+
"sermonise": "sermonize",
|
| 1431 |
+
"sermonised": "sermonized",
|
| 1432 |
+
"sermonises": "sermonizes",
|
| 1433 |
+
"sermonising": "sermonizing",
|
| 1434 |
+
"sheikh": "sheik",
|
| 1435 |
+
"shovelled": "shoveled",
|
| 1436 |
+
"shovelling": "shoveling",
|
| 1437 |
+
"shrivelled": "shriveled",
|
| 1438 |
+
"shrivelling": "shriveling",
|
| 1439 |
+
"signalise": "signalize",
|
| 1440 |
+
"signalised": "signalized",
|
| 1441 |
+
"signalises": "signalizes",
|
| 1442 |
+
"signalising": "signalizing",
|
| 1443 |
+
"signalled": "signaled",
|
| 1444 |
+
"signalling": "signaling",
|
| 1445 |
+
"smoulder": "smolder",
|
| 1446 |
+
"smouldered": "smoldered",
|
| 1447 |
+
"smouldering": "smoldering",
|
| 1448 |
+
"smoulders": "smolders",
|
| 1449 |
+
"snivelled": "sniveled",
|
| 1450 |
+
"snivelling": "sniveling",
|
| 1451 |
+
"snorkelled": "snorkeled",
|
| 1452 |
+
"snorkelling": "snorkeling",
|
| 1453 |
+
"snowplough": "snowplow",
|
| 1454 |
+
"snowploughs": "snowplow",
|
| 1455 |
+
"socialisation": "socialization",
|
| 1456 |
+
"socialise": "socialize",
|
| 1457 |
+
"socialised": "socialized",
|
| 1458 |
+
"socialises": "socializes",
|
| 1459 |
+
"socialising": "socializing",
|
| 1460 |
+
"sodomise": "sodomize",
|
| 1461 |
+
"sodomised": "sodomized",
|
| 1462 |
+
"sodomises": "sodomizes",
|
| 1463 |
+
"sodomising": "sodomizing",
|
| 1464 |
+
"solemnise": "solemnize",
|
| 1465 |
+
"solemnised": "solemnized",
|
| 1466 |
+
"solemnises": "solemnizes",
|
| 1467 |
+
"solemnising": "solemnizing",
|
| 1468 |
+
"sombre": "somber",
|
| 1469 |
+
"specialisation": "specialization",
|
| 1470 |
+
"specialisations": "specializations",
|
| 1471 |
+
"specialise": "specialize",
|
| 1472 |
+
"specialised": "specialized",
|
| 1473 |
+
"specialises": "specializes",
|
| 1474 |
+
"specialising": "specializing",
|
| 1475 |
+
"spectre": "specter",
|
| 1476 |
+
"spectres": "specters",
|
| 1477 |
+
"spiralled": "spiraled",
|
| 1478 |
+
"spiralling": "spiraling",
|
| 1479 |
+
"splendour": "splendor",
|
| 1480 |
+
"splendours": "splendors",
|
| 1481 |
+
"squirrelled": "squirreled",
|
| 1482 |
+
"squirrelling": "squirreling",
|
| 1483 |
+
"stabilisation": "stabilization",
|
| 1484 |
+
"stabilise": "stabilize",
|
| 1485 |
+
"stabilised": "stabilized",
|
| 1486 |
+
"stabiliser": "stabilizer",
|
| 1487 |
+
"stabilisers": "stabilizers",
|
| 1488 |
+
"stabilises": "stabilizes",
|
| 1489 |
+
"stabilising": "stabilizing",
|
| 1490 |
+
"standardisation": "standardization",
|
| 1491 |
+
"standardise": "standardize",
|
| 1492 |
+
"standardised": "standardized",
|
| 1493 |
+
"standardises": "standardizes",
|
| 1494 |
+
"standardising": "standardizing",
|
| 1495 |
+
"stencilled": "stenciled",
|
| 1496 |
+
"stencilling": "stenciling",
|
| 1497 |
+
"sterilisation": "sterilization",
|
| 1498 |
+
"sterilisations": "sterilizations",
|
| 1499 |
+
"sterilise": "sterilize",
|
| 1500 |
+
"sterilised": "sterilized",
|
| 1501 |
+
"steriliser": "sterilizer",
|
| 1502 |
+
"sterilisers": "sterilizers",
|
| 1503 |
+
"sterilises": "sterilizes",
|
| 1504 |
+
"sterilising": "sterilizing",
|
| 1505 |
+
"stigmatisation": "stigmatization",
|
| 1506 |
+
"stigmatise": "stigmatize",
|
| 1507 |
+
"stigmatised": "stigmatized",
|
| 1508 |
+
"stigmatises": "stigmatizes",
|
| 1509 |
+
"stigmatising": "stigmatizing",
|
| 1510 |
+
"storey": "story",
|
| 1511 |
+
"storeys": "stories",
|
| 1512 |
+
"subsidisation": "subsidization",
|
| 1513 |
+
"subsidise": "subsidize",
|
| 1514 |
+
"subsidised": "subsidized",
|
| 1515 |
+
"subsidiser": "subsidizer",
|
| 1516 |
+
"subsidisers": "subsidizers",
|
| 1517 |
+
"subsidises": "subsidizes",
|
| 1518 |
+
"subsidising": "subsidizing",
|
| 1519 |
+
"succour": "succor",
|
| 1520 |
+
"succoured": "succored",
|
| 1521 |
+
"succouring": "succoring",
|
| 1522 |
+
"succours": "succors",
|
| 1523 |
+
"sulphate": "sulfate",
|
| 1524 |
+
"sulphates": "sulfates",
|
| 1525 |
+
"sulphide": "sulfide",
|
| 1526 |
+
"sulphides": "sulfides",
|
| 1527 |
+
"sulphur": "sulfur",
|
| 1528 |
+
"sulphurous": "sulfurous",
|
| 1529 |
+
"summarise": "summarize",
|
| 1530 |
+
"summarised": "summarized",
|
| 1531 |
+
"summarises": "summarizes",
|
| 1532 |
+
"summarising": "summarizing",
|
| 1533 |
+
"swivelled": "swiveled",
|
| 1534 |
+
"swivelling": "swiveling",
|
| 1535 |
+
"symbolise": "symbolize",
|
| 1536 |
+
"symbolised": "symbolized",
|
| 1537 |
+
"symbolises": "symbolizes",
|
| 1538 |
+
"symbolising": "symbolizing",
|
| 1539 |
+
"sympathise": "sympathize",
|
| 1540 |
+
"sympathised": "sympathized",
|
| 1541 |
+
"sympathiser": "sympathizer",
|
| 1542 |
+
"sympathisers": "sympathizers",
|
| 1543 |
+
"sympathises": "sympathizes",
|
| 1544 |
+
"sympathising": "sympathizing",
|
| 1545 |
+
"synchronisation": "synchronization",
|
| 1546 |
+
"synchronise": "synchronize",
|
| 1547 |
+
"synchronised": "synchronized",
|
| 1548 |
+
"synchronises": "synchronizes",
|
| 1549 |
+
"synchronising": "synchronizing",
|
| 1550 |
+
"synthesise": "synthesize",
|
| 1551 |
+
"synthesised": "synthesized",
|
| 1552 |
+
"synthesiser": "synthesizer",
|
| 1553 |
+
"synthesisers": "synthesizers",
|
| 1554 |
+
"synthesises": "synthesizes",
|
| 1555 |
+
"synthesising": "synthesizing",
|
| 1556 |
+
"syphon": "siphon",
|
| 1557 |
+
"syphoned": "siphoned",
|
| 1558 |
+
"syphoning": "siphoning",
|
| 1559 |
+
"syphons": "siphons",
|
| 1560 |
+
"systematisation": "systematization",
|
| 1561 |
+
"systematise": "systematize",
|
| 1562 |
+
"systematised": "systematized",
|
| 1563 |
+
"systematises": "systematizes",
|
| 1564 |
+
"systematising": "systematizing",
|
| 1565 |
+
"tantalise": "tantalize",
|
| 1566 |
+
"tantalised": "tantalized",
|
| 1567 |
+
"tantalises": "tantalizes",
|
| 1568 |
+
"tantalising": "tantalizing",
|
| 1569 |
+
"tantalisingly": "tantalizingly",
|
| 1570 |
+
"tasselled": "tasseled",
|
| 1571 |
+
"technicolour": "technicolor",
|
| 1572 |
+
"temporise": "temporize",
|
| 1573 |
+
"temporised": "temporized",
|
| 1574 |
+
"temporises": "temporizes",
|
| 1575 |
+
"temporising": "temporizing",
|
| 1576 |
+
"tenderise": "tenderize",
|
| 1577 |
+
"tenderised": "tenderized",
|
| 1578 |
+
"tenderises": "tenderizes",
|
| 1579 |
+
"tenderising": "tenderizing",
|
| 1580 |
+
"terrorise": "terrorize",
|
| 1581 |
+
"terrorised": "terrorized",
|
| 1582 |
+
"terrorises": "terrorizes",
|
| 1583 |
+
"terrorising": "terrorizing",
|
| 1584 |
+
"theatre": "theater",
|
| 1585 |
+
"theatregoer": "theatergoer",
|
| 1586 |
+
"theatregoers": "theatergoers",
|
| 1587 |
+
"theatres": "theaters",
|
| 1588 |
+
"theorise": "theorize",
|
| 1589 |
+
"theorised": "theorized",
|
| 1590 |
+
"theorises": "theorizes",
|
| 1591 |
+
"theorising": "theorizing",
|
| 1592 |
+
"tonne": "ton",
|
| 1593 |
+
"tonnes": "tons",
|
| 1594 |
+
"towelled": "toweled",
|
| 1595 |
+
"towelling": "toweling",
|
| 1596 |
+
"toxaemia": "toxemia",
|
| 1597 |
+
"tranquillise": "tranquilize",
|
| 1598 |
+
"tranquillised": "tranquilized",
|
| 1599 |
+
"tranquilliser": "tranquilizer",
|
| 1600 |
+
"tranquillisers": "tranquilizers",
|
| 1601 |
+
"tranquillises": "tranquilizes",
|
| 1602 |
+
"tranquillising": "tranquilizing",
|
| 1603 |
+
"tranquillity": "tranquility",
|
| 1604 |
+
"tranquillize": "tranquilize",
|
| 1605 |
+
"tranquillized": "tranquilized",
|
| 1606 |
+
"tranquillizer": "tranquilizer",
|
| 1607 |
+
"tranquillizers": "tranquilizers",
|
| 1608 |
+
"tranquillizes": "tranquilizes",
|
| 1609 |
+
"tranquillizing": "tranquilizing",
|
| 1610 |
+
"tranquilly": "tranquility",
|
| 1611 |
+
"transistorised": "transistorized",
|
| 1612 |
+
"traumatise": "traumatize",
|
| 1613 |
+
"traumatised": "traumatized",
|
| 1614 |
+
"traumatises": "traumatizes",
|
| 1615 |
+
"traumatising": "traumatizing",
|
| 1616 |
+
"travelled": "traveled",
|
| 1617 |
+
"traveller": "traveler",
|
| 1618 |
+
"travellers": "travelers",
|
| 1619 |
+
"travelling": "traveling",
|
| 1620 |
+
"travelog": "travelogue",
|
| 1621 |
+
"travelogs": "travelogues",
|
| 1622 |
+
"trialled": "trialed",
|
| 1623 |
+
"trialling": "trialing",
|
| 1624 |
+
"tricolour": "tricolor",
|
| 1625 |
+
"tricolours": "tricolors",
|
| 1626 |
+
"trivialise": "trivialize",
|
| 1627 |
+
"trivialised": "trivialized",
|
| 1628 |
+
"trivialises": "trivializes",
|
| 1629 |
+
"trivialising": "trivializing",
|
| 1630 |
+
"tumour": "tumor",
|
| 1631 |
+
"tumours": "tumors",
|
| 1632 |
+
"tunnelled": "tunneled",
|
| 1633 |
+
"tunnelling": "tunneling",
|
| 1634 |
+
"tyrannise": "tyrannize",
|
| 1635 |
+
"tyrannised": "tyrannized",
|
| 1636 |
+
"tyrannises": "tyrannizes",
|
| 1637 |
+
"tyrannising": "tyrannizing",
|
| 1638 |
+
"tyre": "tire",
|
| 1639 |
+
"tyres": "tires",
|
| 1640 |
+
"unauthorised": "unauthorized",
|
| 1641 |
+
"uncivilised": "uncivilized",
|
| 1642 |
+
"underutilised": "underutilized",
|
| 1643 |
+
"unequalled": "unequaled",
|
| 1644 |
+
"unfavourable": "unfavorable",
|
| 1645 |
+
"unfavourably": "unfavorably",
|
| 1646 |
+
"unionisation": "unionization",
|
| 1647 |
+
"unionise": "unionize",
|
| 1648 |
+
"unionised": "unionized",
|
| 1649 |
+
"unionises": "unionizes",
|
| 1650 |
+
"unionising": "unionizing",
|
| 1651 |
+
"unorganised": "unorganized",
|
| 1652 |
+
"unravelled": "unraveled",
|
| 1653 |
+
"unravelling": "unraveling",
|
| 1654 |
+
"unrecognisable": "unrecognizable",
|
| 1655 |
+
"unrecognised": "unrecognized",
|
| 1656 |
+
"unrivalled": "unrivaled",
|
| 1657 |
+
"unsavoury": "unsavory",
|
| 1658 |
+
"untrammelled": "untrammeled",
|
| 1659 |
+
"urbanisation": "urbanization",
|
| 1660 |
+
"urbanise": "urbanize",
|
| 1661 |
+
"urbanised": "urbanized",
|
| 1662 |
+
"urbanises": "urbanizes",
|
| 1663 |
+
"urbanising": "urbanizing",
|
| 1664 |
+
"utilisable": "utilizable",
|
| 1665 |
+
"utilisation": "utilization",
|
| 1666 |
+
"utilise": "utilize",
|
| 1667 |
+
"utilised": "utilized",
|
| 1668 |
+
"utilises": "utilizes",
|
| 1669 |
+
"utilising": "utilizing",
|
| 1670 |
+
"valour": "valor",
|
| 1671 |
+
"vandalise": "vandalize",
|
| 1672 |
+
"vandalised": "vandalized",
|
| 1673 |
+
"vandalises": "vandalizes",
|
| 1674 |
+
"vandalising": "vandalizing",
|
| 1675 |
+
"vaporisation": "vaporization",
|
| 1676 |
+
"vaporise": "vaporize",
|
| 1677 |
+
"vaporised": "vaporized",
|
| 1678 |
+
"vaporises": "vaporizes",
|
| 1679 |
+
"vaporising": "vaporizing",
|
| 1680 |
+
"vapour": "vapor",
|
| 1681 |
+
"vapours": "vapors",
|
| 1682 |
+
"verbalise": "verbalize",
|
| 1683 |
+
"verbalised": "verbalized",
|
| 1684 |
+
"verbalises": "verbalizes",
|
| 1685 |
+
"verbalising": "verbalizing",
|
| 1686 |
+
"victimisation": "victimization",
|
| 1687 |
+
"victimise": "victimize",
|
| 1688 |
+
"victimised": "victimized",
|
| 1689 |
+
"victimises": "victimizes",
|
| 1690 |
+
"victimising": "victimizing",
|
| 1691 |
+
"videodisc": "videodisk",
|
| 1692 |
+
"videodiscs": "videodisks",
|
| 1693 |
+
"vigour": "vigor",
|
| 1694 |
+
"visualisation": "visualization",
|
| 1695 |
+
"visualisations": "visualizations",
|
| 1696 |
+
"visualise": "visualize",
|
| 1697 |
+
"visualised": "visualized",
|
| 1698 |
+
"visualises": "visualizes",
|
| 1699 |
+
"visualising": "visualizing",
|
| 1700 |
+
"vocalisation": "vocalization",
|
| 1701 |
+
"vocalisations": "vocalizations",
|
| 1702 |
+
"vocalise": "vocalize",
|
| 1703 |
+
"vocalised": "vocalized",
|
| 1704 |
+
"vocalises": "vocalizes",
|
| 1705 |
+
"vocalising": "vocalizing",
|
| 1706 |
+
"vulcanised": "vulcanized",
|
| 1707 |
+
"vulgarisation": "vulgarization",
|
| 1708 |
+
"vulgarise": "vulgarize",
|
| 1709 |
+
"vulgarised": "vulgarized",
|
| 1710 |
+
"vulgarises": "vulgarizes",
|
| 1711 |
+
"vulgarising": "vulgarizing",
|
| 1712 |
+
"waggon": "wagon",
|
| 1713 |
+
"waggons": "wagons",
|
| 1714 |
+
"watercolour": "watercolor",
|
| 1715 |
+
"watercolours": "watercolors",
|
| 1716 |
+
"weaselled": "weaseled",
|
| 1717 |
+
"weaselling": "weaseling",
|
| 1718 |
+
"westernisation": "westernization",
|
| 1719 |
+
"westernise": "westernize",
|
| 1720 |
+
"westernised": "westernized",
|
| 1721 |
+
"westernises": "westernizes",
|
| 1722 |
+
"westernising": "westernizing",
|
| 1723 |
+
"womanise": "womanize",
|
| 1724 |
+
"womanised": "womanized",
|
| 1725 |
+
"womaniser": "womanizer",
|
| 1726 |
+
"womanisers": "womanizers",
|
| 1727 |
+
"womanises": "womanizes",
|
| 1728 |
+
"womanising": "womanizing",
|
| 1729 |
+
"woollen": "woolen",
|
| 1730 |
+
"woollens": "woolens",
|
| 1731 |
+
"woollies": "woolies",
|
| 1732 |
+
"woolly": "wooly",
|
| 1733 |
+
"worshipped": "worshiped",
|
| 1734 |
+
"worshipper": "worshiper",
|
| 1735 |
+
"worshipping": "worshiping",
|
| 1736 |
+
"yodelled": "yodeled",
|
| 1737 |
+
"yodelling": "yodeling",
|
| 1738 |
+
"yoghourt": "yogurt",
|
| 1739 |
+
"yoghourts": "yogurts",
|
| 1740 |
+
"yoghurt": "yogurt",
|
| 1741 |
+
"yoghurts": "yogurts"
|
| 1742 |
+
}
|
| 1743 |
+
|
asr_fallback/preprocessor_config.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chunk_length": 30,
|
| 3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
| 4 |
+
"feature_size": 128,
|
| 5 |
+
"hop_length": 160,
|
| 6 |
+
"n_fft": 400,
|
| 7 |
+
"n_samples": 480000,
|
| 8 |
+
"nb_max_frames": 3000,
|
| 9 |
+
"padding_side": "right",
|
| 10 |
+
"padding_value": 0.0,
|
| 11 |
+
"processor_class": "WhisperProcessor",
|
| 12 |
+
"return_attention_mask": false,
|
| 13 |
+
"sampling_rate": 16000
|
| 14 |
+
}
|
| 15 |
+
|
asr_fallback/special_tokens_map.json
ADDED
|
@@ -0,0 +1,140 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|startoftranscript|>",
|
| 4 |
+
"<|en|>",
|
| 5 |
+
"<|zh|>",
|
| 6 |
+
"<|de|>",
|
| 7 |
+
"<|es|>",
|
| 8 |
+
"<|ru|>",
|
| 9 |
+
"<|ko|>",
|
| 10 |
+
"<|fr|>",
|
| 11 |
+
"<|ja|>",
|
| 12 |
+
"<|pt|>",
|
| 13 |
+
"<|tr|>",
|
| 14 |
+
"<|pl|>",
|
| 15 |
+
"<|ca|>",
|
| 16 |
+
"<|nl|>",
|
| 17 |
+
"<|ar|>",
|
| 18 |
+
"<|sv|>",
|
| 19 |
+
"<|it|>",
|
| 20 |
+
"<|id|>",
|
| 21 |
+
"<|hi|>",
|
| 22 |
+
"<|fi|>",
|
| 23 |
+
"<|vi|>",
|
| 24 |
+
"<|he|>",
|
| 25 |
+
"<|uk|>",
|
| 26 |
+
"<|el|>",
|
| 27 |
+
"<|ms|>",
|
| 28 |
+
"<|cs|>",
|
| 29 |
+
"<|ro|>",
|
| 30 |
+
"<|da|>",
|
| 31 |
+
"<|hu|>",
|
| 32 |
+
"<|ta|>",
|
| 33 |
+
"<|no|>",
|
| 34 |
+
"<|th|>",
|
| 35 |
+
"<|ur|>",
|
| 36 |
+
"<|hr|>",
|
| 37 |
+
"<|bg|>",
|
| 38 |
+
"<|lt|>",
|
| 39 |
+
"<|la|>",
|
| 40 |
+
"<|mi|>",
|
| 41 |
+
"<|ml|>",
|
| 42 |
+
"<|cy|>",
|
| 43 |
+
"<|sk|>",
|
| 44 |
+
"<|te|>",
|
| 45 |
+
"<|fa|>",
|
| 46 |
+
"<|lv|>",
|
| 47 |
+
"<|bn|>",
|
| 48 |
+
"<|sr|>",
|
| 49 |
+
"<|az|>",
|
| 50 |
+
"<|sl|>",
|
| 51 |
+
"<|kn|>",
|
| 52 |
+
"<|et|>",
|
| 53 |
+
"<|mk|>",
|
| 54 |
+
"<|br|>",
|
| 55 |
+
"<|eu|>",
|
| 56 |
+
"<|is|>",
|
| 57 |
+
"<|hy|>",
|
| 58 |
+
"<|ne|>",
|
| 59 |
+
"<|mn|>",
|
| 60 |
+
"<|bs|>",
|
| 61 |
+
"<|kk|>",
|
| 62 |
+
"<|sq|>",
|
| 63 |
+
"<|sw|>",
|
| 64 |
+
"<|gl|>",
|
| 65 |
+
"<|mr|>",
|
| 66 |
+
"<|pa|>",
|
| 67 |
+
"<|si|>",
|
| 68 |
+
"<|km|>",
|
| 69 |
+
"<|sn|>",
|
| 70 |
+
"<|yo|>",
|
| 71 |
+
"<|so|>",
|
| 72 |
+
"<|af|>",
|
| 73 |
+
"<|oc|>",
|
| 74 |
+
"<|ka|>",
|
| 75 |
+
"<|be|>",
|
| 76 |
+
"<|tg|>",
|
| 77 |
+
"<|sd|>",
|
| 78 |
+
"<|gu|>",
|
| 79 |
+
"<|am|>",
|
| 80 |
+
"<|yi|>",
|
| 81 |
+
"<|lo|>",
|
| 82 |
+
"<|uz|>",
|
| 83 |
+
"<|fo|>",
|
| 84 |
+
"<|ht|>",
|
| 85 |
+
"<|ps|>",
|
| 86 |
+
"<|tk|>",
|
| 87 |
+
"<|nn|>",
|
| 88 |
+
"<|mt|>",
|
| 89 |
+
"<|sa|>",
|
| 90 |
+
"<|lb|>",
|
| 91 |
+
"<|my|>",
|
| 92 |
+
"<|bo|>",
|
| 93 |
+
"<|tl|>",
|
| 94 |
+
"<|mg|>",
|
| 95 |
+
"<|as|>",
|
| 96 |
+
"<|tt|>",
|
| 97 |
+
"<|haw|>",
|
| 98 |
+
"<|ln|>",
|
| 99 |
+
"<|ha|>",
|
| 100 |
+
"<|ba|>",
|
| 101 |
+
"<|jw|>",
|
| 102 |
+
"<|su|>",
|
| 103 |
+
"<|yue|>",
|
| 104 |
+
"<|translate|>",
|
| 105 |
+
"<|transcribe|>",
|
| 106 |
+
"<|startoflm|>",
|
| 107 |
+
"<|startofprev|>",
|
| 108 |
+
"<|nospeech|>",
|
| 109 |
+
"<|notimestamps|>"
|
| 110 |
+
],
|
| 111 |
+
"bos_token": {
|
| 112 |
+
"content": "<|endoftext|>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"eos_token": {
|
| 119 |
+
"content": "<|endoftext|>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
},
|
| 125 |
+
"pad_token": {
|
| 126 |
+
"content": "<|endoftext|>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false
|
| 131 |
+
},
|
| 132 |
+
"unk_token": {
|
| 133 |
+
"content": "<|endoftext|>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false
|
| 138 |
+
}
|
| 139 |
+
}
|
| 140 |
+
|
asr_fallback/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
asr_fallback/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
asr_fallback/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
assets/interfaze-1.1-lite-banner.png
ADDED
|
Git LFS Details
|
brain/.interfaze-sha-marker
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
release-2
|
brain/chat_template.jinja
ADDED
|
@@ -0,0 +1,170 @@
|
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|
| 1 |
+
{#+ interfaze-sha:cf768c00de3d7e96f230323e6057e0cb765a149796d25a241f512c417471c782 +#}{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- set reasoning_instructions = '' %}
|
| 46 |
+
{%- if enable_thinking is undefined or enable_thinking is true %}
|
| 47 |
+
{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
|
| 48 |
+
{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
|
| 49 |
+
{{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if resolved_reasoning_effort == 'xhigh' %}
|
| 52 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
|
| 53 |
+
{%- elif resolved_reasoning_effort == 'low' %}
|
| 54 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 58 |
+
{{- '<|im_start|>system\n' }}
|
| 59 |
+
{%- if reasoning_instructions %}
|
| 60 |
+
{{- reasoning_instructions + '\n\n' }}
|
| 61 |
+
{%- endif %}
|
| 62 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 63 |
+
{%- for tool in tools %}
|
| 64 |
+
{{- "\n" }}
|
| 65 |
+
{{- tool | tojson }}
|
| 66 |
+
{%- endfor %}
|
| 67 |
+
{{- "\n</tools>" }}
|
| 68 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 69 |
+
{%- if messages[0].role == 'system' %}
|
| 70 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 71 |
+
{%- if content %}
|
| 72 |
+
{{- '\n\n' + content }}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{{- '<|im_end|>\n' }}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- if messages[0].role == 'system' %}
|
| 78 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 79 |
+
{%- if content %}
|
| 80 |
+
{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
|
| 81 |
+
{%- elif reasoning_instructions %}
|
| 82 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{%- elif reasoning_instructions %}
|
| 85 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 89 |
+
{%- for message in messages[::-1] %}
|
| 90 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 91 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 92 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 93 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 94 |
+
{%- set ns.multi_step_tool = false %}
|
| 95 |
+
{%- set ns.last_query_index = index %}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endfor %}
|
| 99 |
+
{%- if ns.multi_step_tool %}
|
| 100 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- for message in messages %}
|
| 103 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 104 |
+
{%- if message.role == "system" %}
|
| 105 |
+
{%- if not loop.first %}
|
| 106 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{%- elif message.role == "user" %}
|
| 109 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 110 |
+
{%- elif message.role == "assistant" %}
|
| 111 |
+
{%- set reasoning_content = '' %}
|
| 112 |
+
{%- if message.reasoning_content is string %}
|
| 113 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 116 |
+
{%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
|
| 117 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 118 |
+
{%- else %}
|
| 119 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 122 |
+
{%- for tool_call in message.tool_calls %}
|
| 123 |
+
{%- if tool_call.function is defined %}
|
| 124 |
+
{%- set tool_call = tool_call.function %}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
{%- if loop.first %}
|
| 127 |
+
{%- if content|trim %}
|
| 128 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 129 |
+
{%- else %}
|
| 130 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- if tool_call.arguments is defined and tool_call.arguments != '' %}
|
| 136 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 137 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 138 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 139 |
+
{{- args_value }}
|
| 140 |
+
{{- '\n</parameter>\n' }}
|
| 141 |
+
{%- endfor %}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{{- '</function>\n</tool_call>' }}
|
| 144 |
+
{%- endfor %}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{{- '<|im_end|>\n' }}
|
| 147 |
+
{%- elif message.role == "tool" %}
|
| 148 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 149 |
+
{{- '<|im_start|>user' }}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{{- '\n<tool_response>\n' }}
|
| 152 |
+
{{- content }}
|
| 153 |
+
{{- '\n</tool_response>' }}
|
| 154 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 155 |
+
{{- '<|im_end|>\n' }}
|
| 156 |
+
{%- elif loop.last %}
|
| 157 |
+
{{- '<|im_end|>\n' }}
|
| 158 |
+
{%- endif %}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- endfor %}
|
| 163 |
+
{%- if add_generation_prompt %}
|
| 164 |
+
{{- '<|im_start|>assistant\n' }}
|
| 165 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 166 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 167 |
+
{%- else %}
|
| 168 |
+
{{- '<think>\n' }}
|
| 169 |
+
{%- endif %}
|
| 170 |
+
{%- endif %}
|
brain/config.json
ADDED
|
@@ -0,0 +1,1034 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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brain/generation_config.json
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brain/layers-28.safetensors
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brain/layers-30.safetensors
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brain/layers-31.safetensors
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brain/layers-32.safetensors
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