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Wfiles
/
MNLP_M2_quantized_model

Feature Extraction
Transformers
Safetensors
qwen3
text-embeddings-inference
8-bit precision
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use Wfiles/MNLP_M2_quantized_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Wfiles/MNLP_M2_quantized_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Wfiles/MNLP_M2_quantized_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Wfiles/MNLP_M2_quantized_model")
    model = AutoModel.from_pretrained("Wfiles/MNLP_M2_quantized_model")
  • Notebooks
  • Google Colab
  • Kaggle
MNLP_M2_quantized_model
752 MB
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  • 1 contributor
History: 2 commits
Wfiles's picture
Wfiles
Upload model
e3657c0 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload model about 1 year ago
  • config.json
    1.8 kB
    Upload model about 1 year ago
  • model.safetensors
    752 MB
    xet
    Upload model about 1 year ago