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 training_args.bin from splitner/spandetect-qa-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/spandetect-qa-wnut17/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spandetect-qa-wnut17/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spandetect-qa-wnut17/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- 3cf935a42cd5ee615215b53a8c510ffdc901dc588bce77af479f12508c947130
- Size of remote file:
- 2.1 kB
- SHA256:
- 859bf68218a79fbc0694bb1aaee7d706848752c83a4d5046955027961307e253
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