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juan071
/
my-super-model

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use juan071/my-super-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use juan071/my-super-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="juan071/my-super-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("juan071/my-super-model")
    model = AutoModelForSequenceClassification.from_pretrained("juan071/my-super-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
my-super-model
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
juan071's picture
juan071
Upload tokenizer
de0b46e verified about 2 years ago
  • runs
    Training in progress, step 10 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.38 kB
    Upload tokenizer about 2 years ago
  • config.json
    996 Bytes
    Training in progress, step 10 about 2 years ago
  • model.safetensors
    433 MB
    xet
    Training in progress, step 10 about 2 years ago
  • special_tokens_map.json
    132 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.25 kB
    Upload tokenizer about 2 years ago
  • training_args.bin
    5.11 kB
    xet
    Training in progress, step 10 about 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer about 2 years ago