Token Classification
Transformers
Safetensors
esm
text-classification
virulence-prediction
biology
bioinformatics
microbiology
Instructions to use kssrikar4/AVP-ESM2-8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssrikar4/AVP-ESM2-8m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kssrikar4/AVP-ESM2-8m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kssrikar4/AVP-ESM2-8m") model = AutoModelForSequenceClassification.from_pretrained("kssrikar4/AVP-ESM2-8m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "<cls>", | |
| "eos_token": "<eos>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |