Instructions to use tharindu/mt5_0.15SOLID_CCTK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_0.15SOLID_CCTK with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_0.15SOLID_CCTK") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_0.15SOLID_CCTK") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 570a2e86b61ec340525cada67e66399ee136e1859b764d203567f41c3b167a0b
- Size of remote file:
- 2.33 GB
- SHA256:
- 9c939210084b45b8aeba309c1c687b00d02bf69a05f81b4ff63579e05e5832b9
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