Instructions to use owaiskha9654/PICO_Evidence_Classification_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owaiskha9654/PICO_Evidence_Classification_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owaiskha9654/PICO_Evidence_Classification_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owaiskha9654/PICO_Evidence_Classification_Model") model = AutoModelForSequenceClassification.from_pretrained("owaiskha9654/PICO_Evidence_Classification_Model") - Notebooks
- Google Colab
- Kaggle
Commit ·
8bde7dd
1
Parent(s): 13ad3a6
add tokenizer
Browse files- special_tokens_map.json +0 -1
- tokenizer_config.json +0 -1
- vocab.txt +0 -1
special_tokens_map.json
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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-
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}
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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"truncation": true,
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"unk_token": "[UNK]"
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}
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"truncation": true,
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"unk_token": "[UNK]"
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}
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vocab.txt
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