Instructions to use abcorrea/e4b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abcorrea/e4b-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abcorrea/e4b-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f29a34211f7c2694b12ea4d5211b9fdadc1ca318550ff767ffbd7b751efd462b
- Size of remote file:
- 5.78 kB
- SHA256:
- 51b901f5b50237c5864ed386cfae9a0da1dfd5d6af017ba7a932bb2a16b6a6c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.