Instructions to use LRJ1981/Rito_version1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/Rito_version1.3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/Rito_version1.3") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/Rito_version1.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a509bf2cbf333a36affdeab59a24c5630f03b596071c7b40d090dc47a8fe8710
- Size of remote file:
- 595 MB
- SHA256:
- 628c9f5ac43d6ed5c066c2b56e291e7c617ddfbb3fe8d24832475782c3b83679
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