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m-gopichand
/
small

Feature Extraction
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use m-gopichand/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-gopichand/small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="m-gopichand/small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("m-gopichand/small")
    model = AutoModel.from_pretrained("m-gopichand/small")
  • Notebooks
  • Google Colab
  • Kaggle
small
576 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
m-gopichand's picture
m-gopichand
Upload tokenizer
40f67bb verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload model about 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    949 Bytes
    Upload model about 2 years ago
  • model.safetensors
    565 MB
    xet
    Upload model about 2 years ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer about 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    8.65 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.47 kB
    Upload tokenizer about 2 years ago