Instructions to use jvalline/20_randomization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvalline/20_randomization_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jvalline/20_randomization_model") model = AutoModelForSeq2SeqLM.from_pretrained("jvalline/20_randomization_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -931,7 +931,7 @@
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"eos_token": "</s>",
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"extra_ids": 100,
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"fn_kwargs": {
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"model_max_length":
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| 935 |
},
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"model_max_length": 512,
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"pad_token": "<pad>",
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| 931 |
"eos_token": "</s>",
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| 932 |
"extra_ids": 100,
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"fn_kwargs": {
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"model_max_length": 512
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},
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"model_max_length": 512,
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| 937 |
"pad_token": "<pad>",
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