Instructions to use nidhinthomas/esm2_t12_35M_UR50D_protein_sec_struct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nidhinthomas/esm2_t12_35M_UR50D_protein_sec_struct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nidhinthomas/esm2_t12_35M_UR50D_protein_sec_struct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nidhinthomas/esm2_t12_35M_UR50D_protein_sec_struct") model = AutoModelForTokenClassification.from_pretrained("nidhinthomas/esm2_t12_35M_UR50D_protein_sec_struct", device_map="auto") - Notebooks
- Google Colab
- Kaggle