Instructions to use DKYoon/mt5-small-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DKYoon/mt5-small-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DKYoon/mt5-small-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("DKYoon/mt5-small-lm-adapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6998447af1b186524db369f555b0d0178613f981f286c0c53f29e01388eb8dbc
- Size of remote file:
- 1.2 GB
- SHA256:
- 56ef64331c784c0f5822abce8af1c988b73fa28034b83615dba958df3497df51
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