Instructions to use CyrexPro/mt5-small-finetuned-amazon-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CyrexPro/mt5-small-finetuned-amazon-en-es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CyrexPro/mt5-small-finetuned-amazon-en-es") model = AutoModelForSeq2SeqLM.from_pretrained("CyrexPro/mt5-small-finetuned-amazon-en-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 686a804c8dba9abff79372361f842be06eb55cf968064540e9807e5fb3c96fa0
- Size of remote file:
- 16.3 MB
- SHA256:
- e3e53de5296055bdd151947e0af35610c4dc3871c359b4fb8433f6fdc6f3514c
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