Instructions to use yawnick/mt5-small-paracrawl-multi-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yawnick/mt5-small-paracrawl-multi-all with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yawnick/mt5-small-paracrawl-multi-all") model = AutoModelForSeq2SeqLM.from_pretrained("yawnick/mt5-small-paracrawl-multi-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b8eef4a4999700f2ee0203be76a85eab3e1b6392857f81339f7b01515179f05
- Size of remote file:
- 1.2 GB
- SHA256:
- 94a8cb7bf8278dbbd09b9736917f19f0c235b5b721e3da663f9aadef42004437
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