🤖 fill-mask

ESMC-6B

biohub/ESMC-6B

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1.5M
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18
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18
Tags
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transformers
Library
Model Details
Full Model IDbiohub/ESMC-6B
Pipeline / Taskfill-mask
Librarytransformers
Downloads (all-time)1.5M
Likes18
Last Modified6/3/2026
Author / Orgbiohub
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("fill-mask", model="biohub/ESMC-6B")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerssafetensorsesmcfill-maskbiologyesmproteinprotein-language-modelprotein-embeddingsmasked-language-modelingtransfer-learningvariant-effect-predictionprotein-engineeringenlicense:mitlicense:otherendpoints_compatibleregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: fill-mask

This model is designed for the fill-mask task. Explore more models for this use case.

All fill-mask Models →
📊 Popularity
Downloads1.5M
❤️ Community Likes18
🛠️ Requirements
  • Install: pip install transformers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?