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README.md
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---
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license: other
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license_name: coqui-public-model-license
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license_link: https://coqui.ai/cpml
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library_name: coqui
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pipeline_tag: text-to-speech
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widget:
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- text: "Once when I was six years old I saw a magnificent picture"
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---
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# โTTS_v2 - Peter Drury Fine-Tuned Model
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This repository hosts a fine-tuned version of the โTTS model.
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Listen to a sample of the โTTS_v2 - Peter Drury Fine-Tuned Model:
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<audio controls>
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<source src="https://huggingface.co/
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Your browser does not support the audio element.
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</audio>
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Here's a Peter Drury mp3 voice line clip from the training data:
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<audio controls>
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<source src="https://huggingface.co/
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Your browser does not support the audio element.
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</audio>
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## Features
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- ๐๏ธ **Voice Cloning**: Realistic voice cloning with just a short audio clip.
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- ๐ **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining Peter Drury's voice.
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- ๐ **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice.
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- ๐ **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages.
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- ๐ง **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio.
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## Supported Languages
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The model supports the following 17 languages: English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko), and Hindi (hi).
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## Usage in Roll Cage
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๐ค๐ฌ Boost your AI experience with this Ollama add-on! Enjoy real-time audio ๐๏ธ and text ๐ chats, LaTeX rendering ๐, agent automations โ๏ธ, workflows ๐, text-to-image ๐โก๏ธ๐ผ๏ธ, image-to-text ๐ผ๏ธโก๏ธ๐ค, image-to-video ๐ผ๏ธโก๏ธ๐ฅ transformations. Fine-tune text ๐, voice ๐ฃ๏ธ, and image ๐ผ๏ธ gens. Includes Windows macro controls ๐ฅ๏ธ and DuckDuckGo search.
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[ollama_agent_roll_cage (OARC)](https://github.com/Leoleojames1/ollama_agent_roll_cage) is a completely local Python & CMD toolset add-on for the Ollama command line interface. The OARC toolset automates the creation of agents, giving the user more control over the likely output. It provides SYSTEM prompt templates for each ./Modelfile, allowing users to design and deploy custom agents quickly. Users can select which local model file is used in agent construction with the desired system prompt.
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## CoquiTTS and Resources
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- ๐ธ๐ฌ **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS)
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- ๐ **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
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- ๐ฉโ๐ป **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions)
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- ๐ฏ **Community**: [Discord](https://discord.gg/5eXr5seRrv)
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## License
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This model is licensed under the [Coqui Public Model License](https://coqui.ai/cpml). Read more about the origin story of CPML [here](https://coqui.ai/blog/tts/cpml).
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## Contact
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Join our ๐ธCommunity on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at info@coqui.ai.
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Using ๐ธTTS API:
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```python
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from TTS.api import TTS
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tts = TTS(model_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/",
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config_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/config.json", progress_bar=False, gpu=True).to(self.device)
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# generate speech by cloning a voice using default settings
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tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
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file_path="output.wav",
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speaker_wav="/path/to/target/speaker.wav",
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language="en")
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```
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Using ๐ธTTS Command line:
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```console
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tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
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--text "Bugรผn okula gitmek istemiyorum." \
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--speaker_wav /path/to/target/speaker.wav \
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--language_idx tr \
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--use_cuda true
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```
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Using the model directly:
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```python
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from TTS.tts.configs.xtts_config import XttsConfig
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from TTS.tts.models.xtts import Xtts
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config = XttsConfig()
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config.load_json("/path/to/xtts/config.json")
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model = Xtts.init_from_config(config)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
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model.cuda()
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outputs = model.synthesize(
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"It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
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config,
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speaker_wav="/data/TTS-public/_refclips/3.wav",
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gpt_cond_len=3,
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language="en",
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)
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```
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---
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license: other
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+
license_name: coqui-public-model-license
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+
license_link: https://coqui.ai/cpml
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+
library_name: coqui
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+
pipeline_tag: text-to-speech
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+
widget:
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| 8 |
+
- text: "Once when I was six years old I saw a magnificent picture"
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# โTTS_v2 - Peter Drury Fine-Tuned Model
|
| 12 |
+
|
| 13 |
+
This repository hosts a fine-tuned version of the โTTS model.
|
| 14 |
+
|
| 15 |
+

|
| 16 |
+
|
| 17 |
+
Listen to a sample of the โTTS_v2 - Peter Drury Fine-Tuned Model:
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+
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+
<audio controls>
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<source src="https://huggingface.co/Borcherding/XTTS-v2_C3PO/raw/main/sample_c3po_generated.wav" type="audio/wav">
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+
Your browser does not support the audio element.
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</audio>
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+
|
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+
Here's a Peter Drury mp3 voice line clip from the training data:
|
| 25 |
+
|
| 26 |
+
<audio controls>
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+
<source src="https://huggingface.co/Borcherding/XTTS-v2_C3PO/raw/main/reference2.mp3" type="audio/wav">
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+
Your browser does not support the audio element.
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+
</audio>
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+
|
| 31 |
+
## Features
|
| 32 |
+
- ๐๏ธ **Voice Cloning**: Realistic voice cloning with just a short audio clip.
|
| 33 |
+
- ๐ **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining Peter Drury's voice.
|
| 34 |
+
- ๐ **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice.
|
| 35 |
+
- ๐ **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages.
|
| 36 |
+
- ๐ง **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio.
|
| 37 |
+
|
| 38 |
+
## Supported Languages
|
| 39 |
+
The model supports the following 17 languages: English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko), and Hindi (hi).
|
| 40 |
+
|
| 41 |
+
## Usage in Roll Cage
|
| 42 |
+
๐ค๐ฌ Boost your AI experience with this Ollama add-on! Enjoy real-time audio ๐๏ธ and text ๐ chats, LaTeX rendering ๐, agent automations โ๏ธ, workflows ๐, text-to-image ๐โก๏ธ๐ผ๏ธ, image-to-text ๐ผ๏ธโก๏ธ๐ค, image-to-video ๐ผ๏ธโก๏ธ๐ฅ transformations. Fine-tune text ๐, voice ๐ฃ๏ธ, and image ๐ผ๏ธ gens. Includes Windows macro controls ๐ฅ๏ธ and DuckDuckGo search.
|
| 43 |
+
|
| 44 |
+
[ollama_agent_roll_cage (OARC)](https://github.com/Leoleojames1/ollama_agent_roll_cage) is a completely local Python & CMD toolset add-on for the Ollama command line interface. The OARC toolset automates the creation of agents, giving the user more control over the likely output. It provides SYSTEM prompt templates for each ./Modelfile, allowing users to design and deploy custom agents quickly. Users can select which local model file is used in agent construction with the desired system prompt.
|
| 45 |
+
|
| 46 |
+
## CoquiTTS and Resources
|
| 47 |
+
- ๐ธ๐ฌ **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS)
|
| 48 |
+
- ๐ **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
|
| 49 |
+
- ๐ฉโ๐ป **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions)
|
| 50 |
+
- ๐ฏ **Community**: [Discord](https://discord.gg/5eXr5seRrv)
|
| 51 |
+
|
| 52 |
+
## License
|
| 53 |
+
This model is licensed under the [Coqui Public Model License](https://coqui.ai/cpml). Read more about the origin story of CPML [here](https://coqui.ai/blog/tts/cpml).
|
| 54 |
+
|
| 55 |
+
## Contact
|
| 56 |
+
Join our ๐ธCommunity on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at info@coqui.ai.
|
| 57 |
+
|
| 58 |
+
Using ๐ธTTS API:
|
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+
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+
```python
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+
from TTS.api import TTS
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+
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tts = TTS(model_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/",
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config_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/config.json", progress_bar=False, gpu=True).to(self.device)
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+
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# generate speech by cloning a voice using default settings
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+
tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
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+
file_path="output.wav",
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speaker_wav="/path/to/target/speaker.wav",
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language="en")
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+
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```
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Using ๐ธTTS Command line:
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+
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+
```console
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+
tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
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--text "Bugรผn okula gitmek istemiyorum." \
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--speaker_wav /path/to/target/speaker.wav \
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--language_idx tr \
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--use_cuda true
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```
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+
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+
Using the model directly:
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+
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| 86 |
+
```python
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+
from TTS.tts.configs.xtts_config import XttsConfig
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from TTS.tts.models.xtts import Xtts
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config = XttsConfig()
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config.load_json("/path/to/xtts/config.json")
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model = Xtts.init_from_config(config)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
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model.cuda()
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outputs = model.synthesize(
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"It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
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+
config,
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speaker_wav="/data/TTS-public/_refclips/3.wav",
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+
gpt_cond_len=3,
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language="en",
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)
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```
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fromtts.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:f523fe36e634b1f373da63346fe3fec4eb2ffe93091d9495ca199471ff649997
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size 2027600
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