Instructions to use DKYoon/mt5-base-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DKYoon/mt5-base-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DKYoon/mt5-base-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("DKYoon/mt5-base-lm-adapt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ad6b490beff8ea580f010abd5d1d04f3fda8e8c45471bb719698eb2f45e3708
- Size of remote file:
- 2.33 GB
- SHA256:
- 6f7f1daa97575d0945383408eed6eaf85b2259c275b2e49d698e09fb3ffada33
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