Instructions to use splitner/single-qa-wnut17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-qa-wnut17 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-qa-wnut17") model = AutoModel.from_pretrained("splitner/single-qa-wnut17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from splitner/single-qa-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 127 kB
-
https://huggingface.co/splitner/single-qa-wnut17/resolve/refs%2Fpr%2F1/trainer_state.json
- Command line
-
hf download hf://splitner/single-qa-wnut17@refs/pr/1/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/splitner/single-qa-wnut17/resolve/refs%2Fpr%2F1/trainer_state.json
127 kB
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