Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Mass-14
/
MNLP_M2_rag_model

Feature Extraction
Transformers
Safetensors
qwen3
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mass-14/MNLP_M2_rag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mass-14/MNLP_M2_rag_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Mass-14/MNLP_M2_rag_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Mass-14/MNLP_M2_rag_model")
    model = AutoModel.from_pretrained("Mass-14/MNLP_M2_rag_model")
  • Notebooks
  • Google Colab
  • Kaggle
MNLP_M2_rag_model
2.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Mass-14's picture
Mass-14
Upload tokenizer
01c96ce verified 12 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 12 months ago
  • README.md
    5.17 kB
    Upload of rag model (Wizard0504/MNLP_M2_mcqa_model) 12 months ago
  • added_tokens.json
    707 Bytes
    Upload tokenizer 12 months ago
  • config.json
    720 Bytes
    Upload of rag model (Wizard0504/MNLP_M2_mcqa_model) 12 months ago
  • merges.txt
    1.67 MB
    Upload tokenizer 12 months ago
  • model.safetensors
    2.38 GB
    xet
    Upload of rag model (Wizard0504/MNLP_M2_mcqa_model) 12 months ago
  • special_tokens_map.json
    616 Bytes
    Upload tokenizer 12 months ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer 12 months ago
  • tokenizer_config.json
    9.71 kB
    Upload tokenizer 12 months ago
  • vocab.json
    2.78 MB
    Upload tokenizer 12 months ago