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owaiskha9654
/
PICO_Evidence_Classification_Model

Text Classification
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
1

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
PICO_Evidence_Classification_Model
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  • 2 contributors
History: 26 commits
owaiskha9654's picture
owaiskha9654
add tokenizer
8bde7dd almost 3 years ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • config.json
    899 Bytes
    add model almost 3 years ago
  • model.safetensors
    433 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    433 MB
    xet
    add model almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 3 years ago
  • tokenizer_config.json
    410 Bytes
    add tokenizer almost 3 years ago
  • vocab.txt
    213 kB
    add tokenizer almost 3 years ago