Text Classification
Transformers
PyTorch
genomics
virology
dna
virus
host-tropism
hvue-v2
custom_code
Instructions to use duttaprat/HViLM-Tropism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duttaprat/HViLM-Tropism with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duttaprat/HViLM-Tropism", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("duttaprat/HViLM-Tropism", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from duttaprat/HViLM-Tropism: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/duttaprat/HViLM-Tropism/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://duttaprat/HViLM-Tropism/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/duttaprat/HViLM-Tropism/resolve/main/pytorch_model.bin
468 MB
- Xet hash:
- dd15a18525f5319b6e6fb7093e162417b20227dbf5b8d58c6ba976eb57512f62
- Size of remote file:
- 468 MB
- SHA256:
- 91fde0c5ee3dba78fa1fa8c0bfc0bbfb6152a48571212a306e73ec241638b30e
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