Instructions to use kuleshov-group/caduceus-ph_seqlen-131k_d_model-256_n_layer-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuleshov-group/caduceus-ph_seqlen-131k_d_model-256_n_layer-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kuleshov-group/caduceus-ph_seqlen-131k_d_model-256_n_layer-16", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kuleshov-group/caduceus-ph_seqlen-131k_d_model-256_n_layer-16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K