Instructions to use knowhate/counterhate-youtube-xlmrobertabase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use knowhate/counterhate-youtube-xlmrobertabase 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-xlmrobertabase") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from knowhate/counterhate-youtube-xlmrobertabase: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/knowhate/counterhate-youtube-xlmrobertabase/resolve/main/saved_model.pb
- Command line
-
hf download hf://knowhate/counterhate-youtube-xlmrobertabase/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/knowhate/counterhate-youtube-xlmrobertabase/resolve/main/saved_model.pb
10.1 MB
- Xet hash:
- 3185de8a68f0a3387288db6353e357c7a49bb5f73003c2f108be156ba31558da
- Size of remote file:
- 10.1 MB
- SHA256:
- 6214a020d393ffa9ec949e69074ed9ac87f7a8a5e87b9053d52919b2530ba116
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