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maikezu
/
f-actor

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

Instructions to use maikezu/f-actor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maikezu/f-actor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="maikezu/f-actor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("maikezu/f-actor")
    model = AutoModel.from_pretrained("maikezu/f-actor")
  • Notebooks
  • Google Colab
  • Kaggle
f-actor
10.4 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
maikezu's picture
maikezu
Upload tokenizer
b16078e verified 2 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 4 months ago
  • README.md
    2.14 kB
    Update README.md 4 months ago
  • chat_template.jinja
    3.83 kB
    Upload tokenizer 4 months ago
  • config.json
    1.13 kB
    Upload model 2 months ago
  • generation_config.json
    184 Bytes
    Upload DSULlama 4 months ago
  • model-00001-of-00002.safetensors
    4.95 GB
    xet
    Upload DSULlama 4 months ago
  • model-00002-of-00002.safetensors
    529 MB
    xet
    Upload DSULlama 4 months ago
  • model.safetensors
    4.94 GB
    xet
    Upload model 2 months ago
  • model.safetensors.index.json
    12.8 kB
    Upload DSULlama 4 months ago
  • special_tokens_map.json
    550 Bytes
    Upload tokenizer 2 months ago
  • tokenizer.json
    17.2 MB
    xet
    Upload tokenizer 2 months ago
  • tokenizer_config.json
    51.6 kB
    Upload tokenizer 2 months ago