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:
- 9124d1a11e55430203b5c2ebe05eb991620ab215d754755608ae865cef6fd03c
- Size of remote file:
- 4.19 MB
- SHA256:
- 0126bcb8d1fdd4dca22dbf99e6f49c599d5f0ff95682832d5e450f014d0543eb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.