Instructions to use thu-coai/roberta-base-cdconv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/roberta-base-cdconv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thu-coai/roberta-base-cdconv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thu-coai/roberta-base-cdconv") model = AutoModelForSequenceClassification.from_pretrained("thu-coai/roberta-base-cdconv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bb0a252
1
Parent(s): b30acd4
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"name_or_path": "checkpoints/cdconv",
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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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