Instructions to use Ayon128/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayon128/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayon128/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Ayon128/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f7c5486307bd7a6b4e6c4ec80df42a8be04b418a4d8c5b91ce20a2ab193cd23
- Size of remote file:
- 1.2 GB
- SHA256:
- 38350752803fd256c4a3beef69d7f3f1dd312643cd27d24e6070a4de534c4332
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