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saracandu
/
stlenc

Feature Extraction
Transformers
Safetensors
stl_encoder
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use saracandu/stlenc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="saracandu/stlenc", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("saracandu/stlenc", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stlenc
611 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 127 commits
saracandu's picture
saracandu
Training finale completato - main aggiornato
26909cc verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    42.8 kB
    Training finale completato - main aggiornato 8 months ago
  • config.json
    608 Bytes
    Training in progress, step 100 8 months ago
  • configuration_stlenc.py
    774 Bytes
    Upload folder using huggingface_hub 8 months ago
  • model.safetensors
    611 MB
    xet
    Training finale completato - main aggiornato 8 months ago
  • modeling_stlenc.py
    1.55 kB
    update 8 months ago
  • special_tokens_map.json
    544 Bytes
    Training in progress, step 100 8 months ago
  • tokenizer_config.json
    1.01 kB
    Training in progress, step 100 8 months ago
  • tokenizer_stlenc.py
    2.93 kB
    fix? 8 months ago
  • training_args.bin
    5.84 kB
    xet
    Training in progress, step 500 8 months ago
  • vocab.json
    410 Bytes
    Upload folder using huggingface_hub 8 months ago