Instructions to use felerminoali/mt5-base-vmw-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felerminoali/mt5-base-vmw-pt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("felerminoali/mt5-base-vmw-pt") model = AutoModelForSeq2SeqLM.from_pretrained("felerminoali/mt5-base-vmw-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c96b386bacad92e901715c0e96cf94ae633fa5786b70881b76d92b1df9d547
- Size of remote file:
- 5.5 kB
- SHA256:
- 0480d76946aba0aa148e1bb7385fdf735810e4d1a50d02446c1d62a9b54605fe
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