Instructions to use YuvrajTalukdar/AssameseWikiLanguageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use YuvrajTalukdar/AssameseWikiLanguageModel with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://YuvrajTalukdar/AssameseWikiLanguageModel") - Notebooks
- Google Colab
- Kaggle
Download cleaned_assamese_text.txt from YuvrajTalukdar/AssameseWikiLanguageModel: direct link, hf CLI and curl.
- Browser
- Download file 67.6 MB
-
https://huggingface.co/YuvrajTalukdar/AssameseWikiLanguageModel/resolve/main/cleaned_assamese_text.txt
- Command line
-
hf download hf://YuvrajTalukdar/AssameseWikiLanguageModel/cleaned_assamese_text.txt
-
curl -L -o cleaned_assamese_text.txt https://huggingface.co/YuvrajTalukdar/AssameseWikiLanguageModel/resolve/main/cleaned_assamese_text.txt
67.6 MB
- Xet hash:
- a565535c5686c14d627d2573dcbb6485778ab53878d81b64bb8e88d67fcbe55a
- Size of remote file:
- 67.6 MB
- SHA256:
- c7d534474629cb7d3f0e43e40215fe238775a634bfa1538454eebede0398862f
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