Instructions to use splitner/spandetect-qa-wnut17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-wnut17 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-wnut17") model = AutoModel.from_pretrained("splitner/spandetect-qa-wnut17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-qa-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 932 MB
-
https://huggingface.co/splitner/spandetect-qa-wnut17/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-qa-wnut17/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-qa-wnut17/resolve/main/optimizer.pt
932 MB
- Xet hash:
- 82d20956c36e5e3ce7d6b9ef6c93a4f6402989fc2ab08f7b4a7fbf3ec317f4ce
- Size of remote file:
- 932 MB
- SHA256:
- dde82c1a51e231a5aef2e253b8707b67939a0754dbbfcb58fcf60351b1d73cd1
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