Fill-Mask
Transformers
Safetensors
English
esmc
biology
esm
protein
protein-language-model
protein-embeddings
masked-language-modeling
transfer-learning
variant-effect-prediction
protein-engineering
custom_code
Instructions to use BioJazz-Lab/ESMC-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioJazz-Lab/ESMC-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioJazz-Lab/ESMC-6B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioJazz-Lab/ESMC-6B", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("BioJazz-Lab/ESMC-6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,114 Bytes
30a5676 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"architectures": [
"EsmcForMaskedLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "modeling_esmc_remote.EsmcRemoteConfig",
"AutoModel": "modeling_esmc_remote.EsmcRemoteModel",
"AutoModelForMaskedLM": "modeling_esmc_remote.EsmcRemoteForMaskedLM",
"AutoModelForSequenceClassification": "modeling_esmc_remote.EsmcRemoteForSequenceClassification",
"AutoModelForTokenClassification": "modeling_esmc_remote.EsmcRemoteForTokenClassification"
},
"bos_token_id": 0,
"classifier_dropout": 0.1,
"dtype": "float32",
"eos_token_id": 2,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2560,
"initializer_range": 0.02,
"intermediate_size": 6912,
"mask_token_id": 32,
"max_position_embeddings": 2048,
"mlp_bias": false,
"model_type": "esmc",
"num_attention_heads": 40,
"num_hidden_layers": 80,
"num_key_value_heads": 40,
"pad_token_id": 1,
"rope_parameters": {
"rope_theta": 10000.0,
"rope_type": "default"
},
"tie_word_embeddings": false,
"transformers_version": "5.16.0.dev0",
"vocab_size": 64
}
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