Instructions to use isikz/esm1b_pt_phosphosite_data_combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isikz/esm1b_pt_phosphosite_data_combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="isikz/esm1b_pt_phosphosite_data_combined")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("isikz/esm1b_pt_phosphosite_data_combined") model = AutoModelForMaskedLM.from_pretrained("isikz/esm1b_pt_phosphosite_data_combined") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 4
Model tree for isikz/esm1b_pt_phosphosite_data_combined
Base model
facebook/esm1b_t33_650M_UR50S