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:
- 9a9957917e0b78239059b3af82c48864b6ea5b8b7657f6f85931973cba9f4c5a
- Size of remote file:
- 1.2 GB
- SHA256:
- fe0f6d1e882c2a46bd10e3d3f330e54cf38c748929ee7fa731943827f0f82717
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