Instructions to use DocDuck/FRED-T5-large-2e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DocDuck/FRED-T5-large-2e-5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DocDuck/FRED-T5-large-2e-5") model = AutoModelForSeq2SeqLM.from_pretrained("DocDuck/FRED-T5-large-2e-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DocDuck/FRED-T5-large-2e-5: direct link, hf CLI and curl.
- Browser
- Download file 3.76 MB
-
https://huggingface.co/DocDuck/FRED-T5-large-2e-5/resolve/main/tokenizer.json
- Command line
-
hf download hf://DocDuck/FRED-T5-large-2e-5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DocDuck/FRED-T5-large-2e-5/resolve/main/tokenizer.json
3.76 MB
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