Keras
TF-Keras
English
protein
protein language model
biology
cafa
linial
ofer
GO
Gene ontology
protein function
protein function prediction
efficient attention
global attention
protein embedding
ProteinBERT
CAFA
Instructions to use GrimSqueaker/proteinBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GrimSqueaker/proteinBERT 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://GrimSqueaker/proteinBERT") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from GrimSqueaker/proteinBERT: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/GrimSqueaker/proteinBERT/resolve/main/fingerprint.pb
- Command line
-
hf download hf://GrimSqueaker/proteinBERT/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/GrimSqueaker/proteinBERT/resolve/main/fingerprint.pb
58 Bytes
- Xet hash:
- e244bc02fd3f33e5a31b592fb8e6097aa06c897eb24588a73413577539894c51
- Size of remote file:
- 58 Bytes
- SHA256:
- 6865c25f3f212dcfde52e370ffa3f5cc4350680910ec7552bb755fd5bc46aac0
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