Instructions to use longcld/t5-small-e2e-qa-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa-full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa-full") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from longcld/t5-small-e2e-qa-full: direct link, hf CLI and curl.
- Browser
- Download file 2.77 kB
-
https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/trainer_state.json
- Command line
-
hf download hf://longcld/t5-small-e2e-qa-full/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/longcld/t5-small-e2e-qa-full/resolve/main/trainer_state.json
2.77 kB
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