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Geotrend
/
bert-base-en-th-cased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Safetensors
multilingual
bert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use Geotrend/bert-base-en-th-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-th-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-th-cased")
    model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-th-cased")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-en-th-cased
1.83 GB
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  • 4 contributors
History: 13 commits
amine's picture
amine
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
137b939 about 3 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • README.md
    1.52 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    659 Bytes
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  • flax_model.msgpack
    434 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    434 MB
    xet
    Adding `safetensors` variant of this model (#2) about 3 years ago
  • pytorch_model.bin
    434 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • tf_model.h5
    528 MB
    xet
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  • tokenizer_config.json
    49 Bytes
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  • vocab.txt
    197 kB
    Update vocab.txt over 5 years ago