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
File size: 133 Bytes
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