Instructions to use splitner/spandetect-seqtag-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-seqtag-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-seqtag-ontonotes") model = AutoModel.from_pretrained("splitner/spandetect-seqtag-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from splitner/spandetect-seqtag-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/splitner/spandetect-seqtag-ontonotes/resolve/main/scheduler.pt
- Command line
-
hf download hf://splitner/spandetect-seqtag-ontonotes/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/splitner/spandetect-seqtag-ontonotes/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- 2a270b873273f4a8c94e58f6eb832417219d8a9dae5f83fbc7cb3e9cf8961734
- Size of remote file:
- 623 Bytes
- SHA256:
- c6bbc49d2d3793fe8d24d1fb9abbb0d826775e8cf9508036bffea5fa5d5e1d83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.