Instructions to use nouamanetazi/bloom-350m-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouamanetazi/bloom-350m-onnx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nouamanetazi/bloom-350m-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36e7c7733cf13c9a328dfa73a1f7f7f1d2da9b8096c18be286aac62c4179cc05
- Size of remote file:
- 16.8 MB
- SHA256:
- c5f618073aa630119b4abc7ee7895b0d282a4f43c25aeb6350659fe8d15dc0c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.