Instructions to use pie/example-ner-spanclf-conll03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pie/example-ner-spanclf-conll03 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pie/example-ner-spanclf-conll03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a42fe4ab2f8ec522a18e3c0efb3bcfebabc667175c06ec139965881fcc8a10e1
- Size of remote file:
- 439 MB
- SHA256:
- 2d519c269795f6e5543eb2762bde644d922cf6d4ce2907b0a1547a3a0bd2be27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.