Instructions to use ZXC12EDSA/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZXC12EDSA/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZXC12EDSA/MyAwesomeModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ZXC12EDSA/MyAwesomeModel") model = AutoModel.from_pretrained("ZXC12EDSA/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from ZXC12EDSA/MyAwesomeModel: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
-
https://huggingface.co/ZXC12EDSA/MyAwesomeModel/resolve/main/.gitattributes
- Command line
-
hf download hf://ZXC12EDSA/MyAwesomeModel/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/ZXC12EDSA/MyAwesomeModel/resolve/main/.gitattributes
42 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |