How to use Synthyra/ESM2-650M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESM2-650M", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESM2-650M", trust_remote_code=True, device_map="auto")
9db4a87 d1c5b19
1
2
3
4
5
6
7
8
9
10
11
12
# Direct runtime dependencies for Synthyra/ESM2-650M. # FastPLMs source is embedded in this model repository. torch>=2.14 transformers>=5.17 huggingface-hub>=1.32 tokenizers>=0.23 safetensors>=0.8 numpy>=2.5 einops>=0.8 tqdm>=4.70 kernels>=0.17
