Text Classification
Transformers
PyTorch
English
esm
ems
esm2
biology
protein
protein language model
cafa 5
protein function prediction
Instructions to use AmelieSchreiber/cafa_5_protein_function_prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmelieSchreiber/cafa_5_protein_function_prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmelieSchreiber/cafa_5_protein_function_prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AmelieSchreiber/cafa_5_protein_function_prediction") model = AutoModelForSequenceClassification.from_pretrained("AmelieSchreiber/cafa_5_protein_function_prediction") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot