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zeifar
/
mlm-pedram

Feature Extraction
Transformers
PyTorch
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use zeifar/mlm-pedram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeifar/mlm-pedram with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zeifar/mlm-pedram")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zeifar/mlm-pedram")
    model = AutoModel.from_pretrained("zeifar/mlm-pedram")
  • Notebooks
  • Google Colab
  • Kaggle
mlm-pedram
2.26 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
zeifar's picture
zeifar
Upload tokenizer
e398fe6 over 2 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer over 2 years ago
  • config.json
    790 Bytes
    Upload model over 2 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    Upload model over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer over 2 years ago
  • special_tokens_map.json
    167 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.45 kB
    Upload tokenizer over 2 years ago