Instructions to use Davlan/oyo-t5-tiny-v32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-t5-tiny-v32k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-t5-tiny-v32k") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-t5-tiny-v32k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Davlan/oyo-t5-tiny-v32k: direct link, hf CLI and curl.
- Browser
- Download file 2.08 MB
-
https://huggingface.co/Davlan/oyo-t5-tiny-v32k/resolve/main/tokenizer.json
- Command line
-
hf download hf://Davlan/oyo-t5-tiny-v32k/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Davlan/oyo-t5-tiny-v32k/resolve/main/tokenizer.json
2.08 MB
File too large to display, you can check the raw version instead.