Text Classification
Transformers
PyTorch
English
esm
ems
esm2
biology
protein
protein language model
cafa 5
protein function prediction
Instructions to use Gokulerusappan/cafa_5_protein_function_prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gokulerusappan/cafa_5_protein_function_prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gokulerusappan/cafa_5_protein_function_prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gokulerusappan/cafa_5_protein_function_prediction") model = AutoModelForSequenceClassification.from_pretrained("Gokulerusappan/cafa_5_protein_function_prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdfd93fc6f00dafc8753efdde15eaaa803a837f92f8e3727df8564f10945bbd3
- Size of remote file:
- 34.6 MB
- SHA256:
- b979922aa035be9cf44e205a6c018b31a2cd73f38cf09a8bdd957ec8f63d8adf
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