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vaibhavad
/
llama-31-mlm

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

Instructions to use vaibhavad/llama-31-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vaibhavad/llama-31-mlm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="vaibhavad/llama-31-mlm", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("vaibhavad/llama-31-mlm", trust_remote_code=True)
    model = AutoModel.from_pretrained("vaibhavad/llama-31-mlm", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
llama-31-mlm
177 MB
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  • 1 contributor
History: 9 commits
vaibhavad's picture
vaibhavad
Update tokenizer_config.json
4879ed9 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload model almost 2 years ago
  • adapter_config.json
    837 Bytes
    Upload model almost 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload model almost 2 years ago
  • config.json
    960 Bytes
    Update config.json almost 2 years ago
  • modeling_llama_encoder.py
    7.47 kB
    Create modeling_llama_encoder.py almost 2 years ago
  • special_tokens_map.json
    296 Bytes
    Create special_tokens_map.json almost 2 years ago
  • tokenizer.json
    9.09 MB
    Create tokenizer.json almost 2 years ago
  • tokenizer_config.json
    44.1 kB
    Update tokenizer_config.json almost 2 years ago