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 flax_model.msgpack from Davlan/oyo-t5-tiny-v32k: direct link, hf CLI and curl.
- Browser
- Download file 104 MB
-
https://huggingface.co/Davlan/oyo-t5-tiny-v32k/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Davlan/oyo-t5-tiny-v32k/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Davlan/oyo-t5-tiny-v32k/resolve/main/flax_model.msgpack
104 MB
- Xet hash:
- 69b99703b1efba10a20d25c4039cb77c34bb074b8910adb2e9385e2b583978d2
- Size of remote file:
- 104 MB
- SHA256:
- b07da05104d6bf3af24207472b318413fe86d69034bd5958fe16c9bf50f5cbda
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