Instructions to use jilijeanlouis/gliner-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jilijeanlouis/gliner-small-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jilijeanlouis/gliner-small-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54082a67c915c029cd837763e2360460efd684ede608a967165bec51caf3b5f8
- Size of remote file:
- 664 MB
- SHA256:
- 2d6a348ed4bd59d50f5be825dba230edc19ef98398d31950ff489e87be61d028
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.