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fvillena
/
hater_model

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use fvillena/hater_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fvillena/hater_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="fvillena/hater_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fvillena/hater_model")
    model = AutoModelForSequenceClassification.from_pretrained("fvillena/hater_model")
  • Notebooks
  • Google Colab
  • Kaggle
hater_model
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
fvillena's picture
fvillena
Upload tokenizer
d30f60b about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    924 Bytes
    Upload BertForSequenceClassification about 3 years ago
  • pytorch_model.bin
    439 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    729 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    518 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    242 kB
    Upload tokenizer about 3 years ago