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itzune
/
berteus-onnx

Feature Extraction
Transformers
ONNX
Basque
bert
basque
euskara
int8
int4
quantized
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use itzune/berteus-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use itzune/berteus-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="itzune/berteus-onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("itzune/berteus-onnx")
    model = AutoModel.from_pretrained("itzune/berteus-onnx", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
berteus-onnx
288 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
xezpeleta's picture
xezpeleta
Upload README.md with huggingface_hub
ce9153a verified 7 days ago
  • onnx
    Upload onnx/model_q4.onnx with huggingface_hub 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    11.1 kB
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  • config.json
    578 Bytes
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  • embedding_meta.json
    187 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    1.22 MB
    Upload tokenizer.json with huggingface_hub 7 days ago
  • tokenizer_config.json
    1.29 kB
    Upload tokenizer_config.json with huggingface_hub 7 days ago
  • vocab.txt
    422 kB
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  • word_embeddings_f16.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    77 MB
    xet
    Upload word_embeddings_f16.bin with huggingface_hub 7 days ago