Instructions to use tharindu/mt5_0.1SOLID_CCTK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_0.1SOLID_CCTK with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_0.1SOLID_CCTK") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_0.1SOLID_CCTK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d037e601c44806dc0a7ae319cc500935264614bbf9aa7a9e13dc54c0d783e32
- Size of remote file:
- 3.25 kB
- SHA256:
- c442c062d1d0b325379aa8ee2d0c499410ac0d6310b2d7e111d2e2039ec755a0
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