Instructions to use Toc/toc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Toc/toc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Toc/toc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ex/additional-networks/scripts/util.py from Toc/toc: direct link, hf CLI and curl.
- Browser
- Download file 259 Bytes
-
https://huggingface.co/Toc/toc/resolve/c1a0bbe94de57e40cec0e7a804248f838984f0ba/ex/additional-networks/scripts/util.py
- Command line
-
hf download hf://Toc/toc@c1a0bbe94de57e40cec0e7a804248f838984f0ba/ex/additional-networks/scripts/util.py
-
curl -L -o util.py https://huggingface.co/Toc/toc/resolve/c1a0bbe94de57e40cec0e7a804248f838984f0ba/ex/additional-networks/scripts/util.py
259 Bytes
| import csv | |
| from io import StringIO | |
| from typing import List | |
| def split_path_list(path_list: str) -> List[str]: | |
| pl = [] | |
| with StringIO() as f: | |
| f.write(path_list) | |
| f.seek(0) | |
| for r in csv.reader(f): | |
| pl += r | |
| return pl | |