Summarization
Transformers
PyTorch
Core ML
ONNX
Safetensors
English
t5
text2text-generation
text-generation-inference
Instructions to use Falconsai/text_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/text_summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="Falconsai/text_summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Falconsai/text_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Falconsai/text_summarization") - Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
Browse filesBeep boop I am the [ONNX export bot 🤖🏎️](https://huggingface.co/spaces/onnx/export). On behalf of [walex3232](https://huggingface.co/walex3232), I would like to add to this repository the model converted to ONNX.
What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!
The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!
- onnx/config.json +1 -1
- onnx/decoder_model.onnx +2 -2
- onnx/decoder_model_merged.onnx +1 -1
- onnx/decoder_with_past_model.onnx +2 -2
- onnx/encoder_model.onnx +2 -2
- onnx/generation_config.json +1 -1
- onnx/special_tokens_map.json +21 -3
- onnx/tokenizer.json +4 -2
onnx/config.json
CHANGED
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@@ -54,7 +54,7 @@
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"prefix": "translate English to Romanian: "
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}
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},
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 32128
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}
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"prefix": "translate English to Romanian: "
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}
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},
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+
"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32128
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}
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onnx/decoder_model.onnx
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size 232468526
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onnx/decoder_model_merged.onnx
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size 232630636
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onnx/decoder_with_past_model.onnx
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version https://git-lfs.github.com/spec/v1
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size 219874666
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onnx/encoder_model.onnx
CHANGED
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 141404303
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onnx/generation_config.json
CHANGED
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@@ -2,5 +2,5 @@
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.
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}
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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+
"transformers_version": "4.37.2"
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}
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onnx/special_tokens_map.json
CHANGED
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@@ -101,7 +101,25 @@
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"<extra_id_98>",
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"<extra_id_99>"
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],
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-
"eos_token":
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}
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"<extra_id_98>",
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"<extra_id_99>"
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],
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| 104 |
+
"eos_token": {
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| 105 |
+
"content": "</s>",
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+
"lstrip": false,
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| 107 |
+
"normalized": false,
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| 108 |
+
"rstrip": false,
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| 109 |
+
"single_word": false
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+
},
|
| 111 |
+
"pad_token": {
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| 112 |
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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| 115 |
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"rstrip": false,
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| 116 |
+
"single_word": false
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| 117 |
+
},
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| 118 |
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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+
"rstrip": false,
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"single_word": false
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}
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}
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onnx/tokenizer.json
CHANGED
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@@ -949,7 +949,8 @@
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{
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"type": "Metaspace",
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"replacement": "▁",
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-
"add_prefix_space": true
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}
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]
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},
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"decoder": {
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"type": "Metaspace",
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"replacement": "▁",
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-
"add_prefix_space": true
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},
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"model": {
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"type": "Unigram",
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{
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"type": "Metaspace",
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"replacement": "▁",
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"add_prefix_space": true,
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"prepend_scheme": "always"
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}
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]
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},
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"decoder": {
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"type": "Metaspace",
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"replacement": "▁",
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+
"add_prefix_space": true,
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"prepend_scheme": "always"
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},
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"model": {
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"type": "Unigram",
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