Instructions to use tharindu/mt5_0.1_SOLID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_0.1_SOLID with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_0.1_SOLID") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_0.1_SOLID") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25016b128b200b1945e2500db671316c6f7ee1c7e33198d52d71a9983d28d4bb
- Size of remote file:
- 3.18 kB
- SHA256:
- baa4c758e77c3aea59296eb558a87424d1ab9d5c984adac2a726e0926b9a2014
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