Instructions to use Shredder/My_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shredder/My_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shredder/My_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shredder/My_model") model = AutoModelForQuestionAnswering.from_pretrained("Shredder/My_model") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -4,7 +4,7 @@
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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-
"name_or_path": "
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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+
"name_or_path": "Shredder/My_model",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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