Instructions to use surprisedPikachu007/mt5-small-search-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surprisedPikachu007/mt5-small-search-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("surprisedPikachu007/mt5-small-search-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("surprisedPikachu007/mt5-small-search-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fccb6dd96d74c030692c84213f1f7a0ad025d55b86bf6634e0ba5fb4bd85e3dc
- Size of remote file:
- 3.77 kB
- SHA256:
- 17069372d44f38072abda88fcd81f11e426d9132d043b7e1de660dda2f88040d
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