Instructions to use google/flan-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/flan-t5-small: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/google/flan-t5-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/flan-t5-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/flan-t5-small/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- cc8e20bfc24524a18cb854bf8c9d826c0a0d7fee10715b7a965ed9c3cd184cf0
- Size of remote file:
- 308 MB
- SHA256:
- 46dc0494fa27c368c41b021666c868570469993386a093bca18aff3c1e13b065
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