Text Classification
Transformers
Safetensors
albert
feature-extraction
biology
Protein
Pfam family
classification
custom_code
Instructions to use sayby/prot_albert_pfam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sayby/prot_albert_pfam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sayby/prot_albert_pfam", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sayby/prot_albert_pfam", trust_remote_code=True) model = AutoModel.from_pretrained("sayby/prot_albert_pfam", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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