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 ·
13ad3a6
1
Parent(s): 95822dc
add model
Browse files- config.json +0 -1
- pytorch_model.bin +1 -1
config.json
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"type_vocab_size": 2,
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"use_cache": true,
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}
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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pytorch_model.bin
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oid sha256:b46b6fd412c1d37193c6fdeadcdca5f6093e8660145da9a8d12f0c96906f5b5c
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size 433324397
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