Instructions to use Synthyra/ESMplusplus_6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_6B", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 290 Bytes
9ee6d6e | 1 2 3 4 5 6 7 8 9 10 11 12 | # Direct runtime dependencies for Synthyra/ESMplusplus_6B. # FastPLMs source is embedded in this model repository. torch>=2.13,<2.14 transformers>=5.13,<5.14 huggingface-hub>=0.34,<2 tokenizers>=0.22,<0.23 safetensors>=0.5,<1 numpy>=1.26,<3 einops>=0.8,<1 tqdm>=4.67,<5 kernels>=0.15,<0.16 |