Instructions to use OpenLab-NLP/Experiments-and-others with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OpenLab-NLP/Experiments-and-others 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://OpenLab-NLP/Experiments-and-others") - Notebooks
- Google Colab
- Kaggle
Download answer_embeddings_streaming.npz from OpenLab-NLP/Experiments-and-others: direct link, hf CLI and curl.
- Browser
- Download file 10.5 MB
-
https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/answer_embeddings_streaming.npz
- Command line
-
hf download hf://OpenLab-NLP/Experiments-and-others/answer_embeddings_streaming.npz
-
curl -L -o answer_embeddings_streaming.npz https://huggingface.co/OpenLab-NLP/Experiments-and-others/resolve/main/answer_embeddings_streaming.npz
10.5 MB
- Xet hash:
- ec714f5ce02bed83406b5b6f27d55e28acaa2e368bf9d7cfcae0aec188ef2356
- Size of remote file:
- 10.5 MB
- SHA256:
- 775586d8801b4de37338a6cca4abad2679933a9a550ceaa03edf2bf7cfedfa76
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