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MeanBean-05
/
bert-base-uncased-itr1

Text Classification
Transformers
Safetensors
English
distilbert
Text-classification-inference.
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use MeanBean-05/bert-base-uncased-itr1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MeanBean-05/bert-base-uncased-itr1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MeanBean-05/bert-base-uncased-itr1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MeanBean-05/bert-base-uncased-itr1")
    model = AutoModelForSequenceClassification.from_pretrained("MeanBean-05/bert-base-uncased-itr1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-itr1
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
MeanBean-05's picture
MeanBean-05
Updated the tokenizer parameters and made some changes to the labels. (#2)
c09421a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    166 Bytes
    Update README.md over 2 years ago
  • config.json
    1.68 kB
    Updated the tokenizer parameters and made some changes to the labels. (#2) about 2 years ago
  • model.safetensors
    268 MB
    xet
    Updated the tokenizer parameters and made some changes to the labels. (#2) about 2 years ago
  • special_tokens_map.json
    125 Bytes
    uploaded the model weights and the tokenizer. (#1) over 2 years ago
  • tokenizer.json
    711 kB
    uploaded the model weights and the tokenizer. (#1) over 2 years ago
  • tokenizer_config.json
    1.22 kB
    uploaded the model weights and the tokenizer. (#1) over 2 years ago
  • vocab.txt
    232 kB
    uploaded the model weights and the tokenizer. (#1) over 2 years ago