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 pytorch_model.bin from Yotta/XpCoDir2: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/Yotta/XpCoDir2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yotta/XpCoDir2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yotta/XpCoDir2/resolve/main/pytorch_model.bin
17.6 MB
- Xet hash:
- d547190371b5387fda05a989d0bf68655832a578333681f2b8128b42f0721d91
- Size of remote file:
- 17.6 MB
- SHA256:
- 391842de34ea94ea32667ad5f16d8b0fe2231708ff7ceb6c645834f211b2180c
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