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netcat420
/
MHENN6

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

Instructions to use netcat420/MHENN6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use netcat420/MHENN6 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="netcat420/MHENN6")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("netcat420/MHENN6")
    model = AutoModelForCausalLM.from_pretrained("netcat420/MHENN6")
  • Notebooks
  • Google Colab
  • Kaggle
MHENN6
29 GB
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  • 1 contributor
History: 3 commits
netcat420's picture
netcat420
Create README.md
c565741 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    231 Bytes
    Create README.md about 2 years ago
  • config.json
    652 Bytes
    Upload MistralForCausalLM about 2 years ago
  • generation_config.json
    111 Bytes
    Upload MistralForCausalLM about 2 years ago
  • model-00001-of-00006.safetensors
    4.99 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00002-of-00006.safetensors
    4.9 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00003-of-00006.safetensors
    5 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00004-of-00006.safetensors
    5 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00005-of-00006.safetensors
    4.83 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00006-of-00006.safetensors
    4.25 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model.safetensors.index.json
    24 kB
    Upload MistralForCausalLM about 2 years ago