Instructions to use AnonymousSub/SQuAD_CLIP_text_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SQuAD_CLIP_text_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/SQuAD_CLIP_text_8")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SQuAD_CLIP_text_8") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/SQuAD_CLIP_text_8") - Notebooks
- Google Colab
- Kaggle
Commit 路
d7881a4
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Parent(s): 659f8e8
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"rstrip": false,
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"single_word": false
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},
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"special_tokens_map_file": null,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": {
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"rstrip": false,
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"single_word": false
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},
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": {
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