Instructions to use mirari/mt5-base-finetuned-easy-read with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirari/mt5-base-finetuned-easy-read with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mirari/mt5-base-finetuned-easy-read") model = AutoModelForSeq2SeqLM.from_pretrained("mirari/mt5-base-finetuned-easy-read", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 619eca7d6b7adf466a97e36af67fcab05c77f995d0bea3b5728687ce074c057d
- Size of remote file:
- 16.4 MB
- SHA256:
- e24d299f13eafe0f8f1a48bc0adaafa87038861e8d5c975053d8531bc656acf4
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