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tsessk
/
content

Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tsessk/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tsessk/content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tsessk/content")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tsessk/content")
    model = AutoModelForSequenceClassification.from_pretrained("tsessk/content")
  • Notebooks
  • Google Colab
  • Kaggle
content
331 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tsessk's picture
tsessk
tsessk/llm-course-hw2-reward-model
2c4e5c1 verified over 1 year ago
  • .config
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • sample_data
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • .gitattributes
    1.65 kB
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • README.md
    1.63 kB
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  • config.json
    842 Bytes
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • merges.txt
    466 kB
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • model.safetensors
    269 MB
    xet
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • special_tokens_map.json
    544 Bytes
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • tokenizer.json
    3.52 MB
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • tokenizer_config.json
    3.62 kB
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    tsessk/llm-course-hw2-reward-model over 1 year ago
  • vocab.json
    801 kB
    tsessk/llm-course-hw2-reward-model over 1 year ago