Instructions to use HXCR/hello-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HXCR/hello-base-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HXCR/hello-base-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1520af53ba535d628d2cb8cb4d74d72ca5b40b25637cf0fbcd66e8a91f58fa66
- Size of remote file:
- 15.6 MB
- SHA256:
- 737d22f5b6d2744c80701cf77eb34483aea0fbbbacbc23c8cdbf9c3090c6176a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.