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vpelloin
/
MEDIA_NLU-flaubert_base_uncased

Token Classification
Transformers
PyTorch
TensorBoard
French
flaubert
bert
natural language understanding
NLU
spoken language understanding
SLU
understanding
MEDIA
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use vpelloin/MEDIA_NLU-flaubert_base_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vpelloin/MEDIA_NLU-flaubert_base_uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="vpelloin/MEDIA_NLU-flaubert_base_uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_uncased")
    model = AutoModelForTokenClassification.from_pretrained("vpelloin/MEDIA_NLU-flaubert_base_uncased", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MEDIA_NLU-flaubert_base_uncased
552 MB
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  • 2 contributors
History: 44 commits
vpelloin's picture
vpelloin
Upload tensorboard/MEDIA_NLU-flaubert_base_uncased/events.out.tfevents.1647177300.gpu25 with huggingface_hub
437b868 about 3 years ago
  • tensorboard
    Delete tensorboard/main over 3 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.46 kB
    Upload README.md with huggingface_hub over 3 years ago
  • config.json
    10.7 kB
    Upload FlaubertForTokenClassification about 3 years ago
  • merges.txt
    598 kB
    add tokenizer over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    550 MB
    xet
    Upload FlaubertForTokenClassification about 3 years ago
  • requirements.txt
    10 Bytes
    Create requirements.txt about 4 years ago
  • special_tokens_map.json
    366 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    588 Bytes
    Upload tokenizer over 3 years ago
  • vocab.json
    1.45 MB
    Upload tokenizer over 3 years ago