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:
- 205f75dff1f662d2b7ab98269f3a402d868779021fa59d940a03f071e2787be5
- Size of remote file:
- 4.19 MB
- SHA256:
- f46e26abc0df9300129673c5866386adc7f09fc79d8a3113b8e379a31d53ace9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.