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

- Xet hash:
- 1f4eb6c2c20429ee6a0c7051f3fe22a96df60bf72a94f69a4eca36db2f5f1acd
- Size of remote file:
- 177 kB
- SHA256:
- 373802d884ba8bc881f2c8ed5f576cf5d85d676538bda1e9be975b936275d391
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