Token Classification
Transformers
PyTorch
Safetensors
English
esm
biology
esm2
ESM-2
protein language model
Instructions to use AmelieSchreiber/esm2_t6_8M_general_binding_sites_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmelieSchreiber/esm2_t6_8M_general_binding_sites_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AmelieSchreiber/esm2_t6_8M_general_binding_sites_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AmelieSchreiber/esm2_t6_8M_general_binding_sites_v2") model = AutoModelForTokenClassification.from_pretrained("AmelieSchreiber/esm2_t6_8M_general_binding_sites_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
cd23291 | 1 2 3 4 5 6 7 8 | {
"cls_token": "<cls>",
"eos_token": "<eos>",
"mask_token": "<mask>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}
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