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gmihaila
/
bert-base-cased-hatexplain

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

Instructions to use gmihaila/bert-base-cased-hatexplain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gmihaila/bert-base-cased-hatexplain with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gmihaila/bert-base-cased-hatexplain")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gmihaila/bert-base-cased-hatexplain")
    model = AutoModelForSequenceClassification.from_pretrained("gmihaila/bert-base-cased-hatexplain")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-cased-hatexplain
434 MB
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  • 1 contributor
History: 16 commits
gmihaila's picture
gmihaila
[closed-loop/xai/bert_baseline:v3][bert-base-cased]
953b9fe verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    31 Bytes
    initial commit almost 2 years ago
  • config.json
    924 Bytes
    [closed-loop/xai/bert_baseline:v3][bert-base-cased] over 1 year ago
  • model.safetensors
    433 MB
    LFS
    [closed-loop/xai/bert_baseline:v3][bert-base-cased] almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer almost 2 years ago