Instructions to use 1rsh/flan-t5-small-search-query-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1rsh/flan-t5-small-search-query-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("1rsh/flan-t5-small-search-query-generation") model = AutoModelForSeq2SeqLM.from_pretrained("1rsh/flan-t5-small-search-query-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 554bb2f52f460e25f47b179c732063adcb092a7c5e345584a1a053af633e1568
- Size of remote file:
- 308 MB
- SHA256:
- 3f763c936bce9d0dac37828df8f321b53a0be42e9040598f3fe3125dc36096c0
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