Instructions to use ljvmiranda921/tl_gliner_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use ljvmiranda921/tl_gliner_small with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("ljvmiranda921/tl_gliner_small") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ljvmiranda921/tl_gliner_small: direct link, hf CLI and curl.
- Browser
- Download file 664 MB
-
https://huggingface.co/ljvmiranda921/tl_gliner_small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ljvmiranda921/tl_gliner_small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ljvmiranda921/tl_gliner_small/resolve/main/pytorch_model.bin
664 MB
- Xet hash:
- 08038b335b599ea3868eadfc96d1ec0c0aab9ebb32aa0b700c4a33a626fcecbc
- Size of remote file:
- 664 MB
- SHA256:
- e9a9278b34a8b0f230148e8e27f7acc192f4f5205cdf08fbd2671cf8c4fbc2a1
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