Instructions to use virtual-human-chc/prot_t5_xxl_bfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtual-human-chc/prot_t5_xxl_bfd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="virtual-human-chc/prot_t5_xxl_bfd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("virtual-human-chc/prot_t5_xxl_bfd") model = AutoModel.from_pretrained("virtual-human-chc/prot_t5_xxl_bfd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 2 months ago
by
petrovicboris