Fill-Mask
Transformers
Safetensors
English
esmc
biology
esm
protein
protein-language-model
protein-embeddings
masked-language-modeling
transfer-learning
variant-effect-prediction
protein-engineering
Instructions to use Phsntom/ESMC-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Phsntom/ESMC-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Phsntom/ESMC-6B")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Phsntom/ESMC-6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 341 Bytes
0ab5ef8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"architectures": [
"ESMCForMaskedLM"
],
"classifier_dropout": 0.1,
"d_model": 2560,
"dtype": "float32",
"initializer_range": 0.02,
"mask_token_id": 32,
"model_type": "esmc",
"n_heads": 40,
"n_layers": 80,
"pad_token_id": 1,
"tie_word_embeddings": false,
"transformers_version": "4.57.6",
"vocab_size": 64
}
|