Instructions to use wyu1/FiD-WebQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wyu1/FiD-WebQ with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("wyu1/FiD-WebQ") model = FiDT5.from_pretrained("wyu1/FiD-WebQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from wyu1/FiD-WebQ: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/wyu1/FiD-WebQ/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://wyu1/FiD-WebQ@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/wyu1/FiD-WebQ/resolve/refs%2Fpr%2F1/tokenizer.json
1.39 MB
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