Instructions to use Superxixixi/LoCoNet_ASD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Superxixixi/LoCoNet_ASD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Superxixixi/LoCoNet_ASD", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Superxixixi/LoCoNet_ASD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download utils/__pycache__/distributed.cpython-37.pyc from Superxixixi/LoCoNet_ASD: direct link, hf CLI and curl.
- Browser
- Download file 8.46 kB
-
https://huggingface.co/Superxixixi/LoCoNet_ASD/resolve/refs%2Fpr%2F1/utils/__pycache__/distributed.cpython-37.pyc
- Command line
-
hf download hf://Superxixixi/LoCoNet_ASD@refs/pr/1/utils/__pycache__/distributed.cpython-37.pyc
-
curl -L -o distributed.cpython-37.pyc https://huggingface.co/Superxixixi/LoCoNet_ASD/resolve/refs%2Fpr%2F1/utils/__pycache__/distributed.cpython-37.pyc
8.46 kB
This file contains binary data. It cannot be displayed, but you can still download it.