Instructions to use knowhate/counterhate-youtube-bertimbau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use knowhate/counterhate-youtube-bertimbau 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://knowhate/counterhate-youtube-bertimbau") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from knowhate/counterhate-youtube-bertimbau: direct link, hf CLI and curl.
- Browser
- Download file 6.89 MB
-
https://huggingface.co/knowhate/counterhate-youtube-bertimbau/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://knowhate/counterhate-youtube-bertimbau@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/knowhate/counterhate-youtube-bertimbau/resolve/refs%2Fpr%2F1/saved_model.pb
6.89 MB
- Xet hash:
- b85912d638a87c899d1d6a50ad0c752a3f7762efda3112b99d0d6a3f9ed0a484
- Size of remote file:
- 6.89 MB
- SHA256:
- de65a2c1a3ebce87165fab6642b99dbee4ef33334bf55a0be5a95faf737a971d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.