Text Classification
Transformers
PyTorch
genomics
virology
dna
virus
pathogenicity
hvue-v2
custom_code
Instructions to use duttaprat/HViLM-Patho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duttaprat/HViLM-Patho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duttaprat/HViLM-Patho", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("duttaprat/HViLM-Patho", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3f812210487da9a1e69f06aff88b3e7ac5959a72165232d11be6d502f842e07
- Size of remote file:
- 468 MB
- SHA256:
- 5090060bfb511272958077f1c53b32613f48373cfdac2ae84f5e9d24a051744a
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