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netcat420
/
MFANN3bv0.7

Text Classification
Transformers
Safetensors
phi
text-generation
Model card Files Files and versions
xet
Community

Instructions to use netcat420/MFANN3bv0.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use netcat420/MFANN3bv0.7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="netcat420/MFANN3bv0.7")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANN3bv0.7")
    model = AutoModelForCausalLM.from_pretrained("netcat420/MFANN3bv0.7", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MFANN3bv0.7
11.1 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
netcat420's picture
netcat420
Update README.md
48b4a37 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    547 Bytes
    Update README.md over 2 years ago
  • config.json
    742 Bytes
    Upload PhiForCausalLM over 2 years ago
  • generation_config.json
    119 Bytes
    Upload PhiForCausalLM over 2 years ago
  • model-00001-of-00003.safetensors
    4.98 GB
    xet
    Upload PhiForCausalLM over 2 years ago
  • model-00002-of-00003.safetensors
    4.98 GB
    xet
    Upload PhiForCausalLM over 2 years ago
  • model-00003-of-00003.safetensors
    1.15 GB
    xet
    Upload PhiForCausalLM over 2 years ago
  • model.safetensors.index.json
    35.7 kB
    Upload PhiForCausalLM over 2 years ago
  • special_tokens_map.json
    441 Bytes
    Upload 4 files over 2 years ago
  • tokenizer.json
    2.11 MB
    Upload 4 files over 2 years ago
  • tokenizer_config.json
    7.34 kB
    Upload 4 files over 2 years ago
  • vocab.json
    798 kB
    Upload 4 files over 2 years ago