Instructions to use akraut/CDS_BERT_CLF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use akraut/CDS_BERT_CLF 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://akraut/CDS_BERT_CLF") - Notebooks
- Google Colab
- Kaggle
Download variables/variables.index from akraut/CDS_BERT_CLF: direct link, hf CLI and curl.
- Browser
- Download file 8.78 kB
-
https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/variables/variables.index
- Command line
-
hf download hf://akraut/CDS_BERT_CLF/variables/variables.index
-
curl -L -o variables.index https://huggingface.co/akraut/CDS_BERT_CLF/resolve/main/variables/variables.index
8.78 kB
- Xet hash:
- e8661ff446491f3fbafabdb536516a1e88a9a6e2088d53a47436894891d23b8c
- Size of remote file:
- 8.78 kB
- SHA256:
- 7bfdad17930f2d4c5472b268fdbffa36158a3a03acd72cafd0171fae3f344fb7
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