Instructions to use splitner/spandetect-seqtag-wnut17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-seqtag-wnut17 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-seqtag-wnut17") model = AutoModel.from_pretrained("splitner/spandetect-seqtag-wnut17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-seqtag-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 932 MB
-
https://huggingface.co/splitner/spandetect-seqtag-wnut17/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-seqtag-wnut17/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-seqtag-wnut17/resolve/main/optimizer.pt
932 MB
- Xet hash:
- 97f34bc6a03ca566e8296a33a4b023e396e7040784b55a874b8d32acb4f4bf1a
- Size of remote file:
- 932 MB
- SHA256:
- 79ff01313c0d6de5cf7deee105cca7415b40b175860a2ef695adef592b70ba69
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