Fill-Mask
Transformers
PyTorch
TensorFlow
Safetensors
esm
biology
protein-language-model
proteins
embeddings
drug-discovery
aurigene
Instructions to use Aurigene-AI/esm2_t33_650M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aurigene-AI/esm2_t33_650M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Aurigene-AI/esm2_t33_650M_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Aurigene-AI/esm2_t33_650M_UR50D") model = AutoModelForMaskedLM.from_pretrained("Aurigene-AI/esm2_t33_650M_UR50D", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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