Instructions to use Rishu115/mlm-bert-train_finalTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Rishu115/mlm-bert-train_finalTraining with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Rishu115/mlm-bert-train_finalTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56986e92f693373902c3cb370de059e24a08877752ba9dafe19134b575bdf9a6
- Size of remote file:
- 40.7 kB
- SHA256:
- 52e750a84f3e846a4e0c1d7d7d3933ea6e4a017230ba0031edfd31b8e3439d87
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