Instructions to use dotslashderek/flan-t5-small-compression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dotslashderek/flan-t5-small-compression with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dotslashderek/flan-t5-small-compression") model = AutoModelForSeq2SeqLM.from_pretrained("dotslashderek/flan-t5-small-compression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_loss.png from dotslashderek/flan-t5-small-compression: direct link, hf CLI and curl.
- Browser
- Download file 25.8 kB
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https://huggingface.co/dotslashderek/flan-t5-small-compression/resolve/main/eval_loss.png
- Command line
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hf download hf://dotslashderek/flan-t5-small-compression/eval_loss.png
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curl -L -o eval_loss.png https://huggingface.co/dotslashderek/flan-t5-small-compression/resolve/main/eval_loss.png
25.8 kB
