Instructions to use amtam0/timer-ner-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use amtam0/timer-ner-en with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("amtam0/timer-ner-en") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amtam0/timer-ner-en: direct link, hf CLI and curl.
- Browser
- Download file 338 MB
-
https://huggingface.co/amtam0/timer-ner-en/resolve/dc0edd8ea8dc08db2266e4dca8977b49df63ccbb/pytorch_model.bin
- Command line
-
hf download hf://amtam0/timer-ner-en@dc0edd8ea8dc08db2266e4dca8977b49df63ccbb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amtam0/timer-ner-en/resolve/dc0edd8ea8dc08db2266e4dca8977b49df63ccbb/pytorch_model.bin
338 MB
- Xet hash:
- 9be5efbcb618667c4cce3d3f7b39d7067245b1f1d8900eede7a7649b43cc95a3
- Size of remote file:
- 338 MB
- SHA256:
- b47b1a70fbce46c117cb375ddc66671d4330395d9ad124bfa79a5596086f4cd1
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