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swami2004
/
bert-reward-model-assignment-1

Text Classification
Transformers
Safetensors
bert
trl
reward-trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use swami2004/bert-reward-model-assignment-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use swami2004/bert-reward-model-assignment-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="swami2004/bert-reward-model-assignment-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("swami2004/bert-reward-model-assignment-1")
    model = AutoModelForSequenceClassification.from_pretrained("swami2004/bert-reward-model-assignment-1")
  • Notebooks
  • Google Colab
  • Kaggle
bert-reward-model-assignment-1
439 MB
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  • 1 contributor
History: 3 commits
swami2004's picture
swami2004
Upload tokenizer
5671267 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.19 kB
    Upload BertForSequenceClassification 2 months ago
  • config.json
    843 Bytes
    Upload BertForSequenceClassification 2 months ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification 2 months ago
  • tokenizer.json
    711 kB
    Upload tokenizer 2 months ago
  • tokenizer_config.json
    346 Bytes
    Upload tokenizer 2 months ago