ESM2 Models
Collection
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# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("gabrielbianchin/base_esm2_t33_long")
model = AutoModelForMaskedLM.from_pretrained("gabrielbianchin/base_esm2_t33_long", device_map="auto")Quick Links
ESM2 Quantized Base
This is the base model for T33 quantized model. To use the quantized model, access gabrielbianchin/esm2_t33_long_int4.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gabrielbianchin/base_esm2_t33_long")