Instructions to use whatdhack/mt5-small-finetuned-amazon-en-es-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whatdhack/mt5-small-finetuned-amazon-en-es-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("whatdhack/mt5-small-finetuned-amazon-en-es-1") model = AutoModelForSeq2SeqLM.from_pretrained("whatdhack/mt5-small-finetuned-amazon-en-es-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70ce6222da7d440b8b66adeae67bc3854b077fc23d21fcff80628a74d01fa707
- Size of remote file:
- 3.5 kB
- SHA256:
- 8c6213b4aad89c62edbb7061ff3d1757c78de344eb89dc69b71001d0326db038
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