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PeteBleackley
/
trainer_output

Feature Extraction
Transformers
Safetensors
English
modernbert
Generated from Trainer
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use PeteBleackley/trainer_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="PeteBleackley/trainer_output", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("PeteBleackley/trainer_output", trust_remote_code=True)
    model = AutoModel.from_pretrained("PeteBleackley/trainer_output", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
trainer_output
964 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
PeteBleackley's picture
PeteBleackley
GliteTech/DisambertSingleSense-base
0202015 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • DisamBertSingleSense.py
    4.73 kB
    GliteTech/DisambertSingleSense-base 3 months ago
  • README.md
    4.94 kB
    GliteTech/DisambertSingleSense-base 3 months ago
  • config.json
    2.66 MB
    GliteTech/DisambertSingleSense-base 3 months ago
  • model.safetensors
    958 MB
    xet
    GliteTech/DisambertSingleSense-base 3 months ago
  • tokenizer.json
    3.58 MB
    GliteTech/DisambertSingleSense-base 3 months ago
  • tokenizer_config.json
    411 Bytes
    GliteTech/DisambertSingleSense-base 3 months ago
  • training_args.bin
    4.79 kB
    xet
    GliteTech/DisambertSingleSense-base 3 months ago