Instructions to use Yotta/XpCoDir2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yotta/XpCoDir2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Yotta/XpCoDir2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Yotta/XpCoDir2") model = AutoModel.from_pretrained("Yotta/XpCoDir2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Yotta/XpCoDir2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Yotta/XpCoDir2/resolve/main/training_args.bin
- Command line
-
hf download hf://Yotta/XpCoDir2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Yotta/XpCoDir2/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- e89f10f468c07a3745a8773a3523fa7f45ab96c840cd2759bfc298ae30767d32
- Size of remote file:
- 3.06 kB
- SHA256:
- fd639d262816d3c5694b65ac139877c01ed5627e3fd791079f8673cedf2f9047
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