Instructions to use ardigen/ardisplay-i with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ardigen/ardisplay-i with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ardigen/ardisplay-i", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("ardigen/ardisplay-i", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 716 Bytes
20901a8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import os
from setuptools import setup
with open('requirements.txt') as f:
requirements = f.read().splitlines()
setup(
name="ardisplay-i-cli",
version="1.0.0",
py_modules=["ardisplay_cli"],
description="The model predicts peptide presentation on the cell surface via a given HLA class I receptor.",
author="Ardigen S.A.",
author_email="ardisplay@ardigen.com",
license="https://huggingface.co/ardigen/ardisplay-i/blob/main/LICENSE.md",
url="https://huggingface.co/ardigen/ardisplay-i",
install_requires=requirements + [
"click",
"datasets",
],
entry_points="""
[console_scripts]
ardisplay-i-cli=ardisplay_cli:ardisplay_cli
""",
)
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