Instructions to use Synthyra/ESMplusplus_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload entrypoint_setup.py with huggingface_hub
Verified signature9d732c4
-
Upload entrypoint_setup.py with huggingface_hub
Verified signature83c5894 -
Upload entrypoint_setup.py with huggingface_hub
Verified signature6ed0177
-
Upload entrypoint_setup.py with huggingface_hub
Verified signature21426ed
-
Upload entrypoint_setup.py with huggingface_hub
Verified signature7a7bdfd -
Upload entrypoint_setup.py with huggingface_hub
Verified signature25d5918 -
Upload entrypoint_setup.py with huggingface_hub
Verified signaturebedd3bd