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prd101-wd
/
phi1_5-sentiment-merged

Text Classification
Transformers
Safetensors
PyTorch
English
phi
text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use prd101-wd/phi1_5-sentiment-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prd101-wd/phi1_5-sentiment-merged with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="prd101-wd/phi1_5-sentiment-merged")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("prd101-wd/phi1_5-sentiment-merged")
    model = AutoModelForCausalLM.from_pretrained("prd101-wd/phi1_5-sentiment-merged")
  • Notebooks
  • Google Colab
  • Kaggle
phi1_5-sentiment-merged
2.84 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
prd101-wd's picture
prd101-wd
Update README.md
1b45301 verified about 1 year ago
  • .gitattributes
    93 Bytes
    Add Git LFS tracking about 1 year ago
  • README.md
    3.54 kB
    Update README.md about 1 year ago
  • added_tokens.json
    1.08 kB
    Upload merged model about 1 year ago
  • config.json
    694 Bytes
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  • generation_config.json
    69 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    2.84 GB
    xet
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  • special_tokens_map.json
    441 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    7.4 kB
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  • vocab.json
    798 kB
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