How to use fredzzp/esm2_t36_3B_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fredzzp/esm2_t36_3B_UR50D", trust_remote_code=True)
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fredzzp/esm2_t36_3B_UR50D", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("fredzzp/esm2_t36_3B_UR50D", trust_remote_code=True, device_map="auto")
