Instructions to use LRJ1981/Rito_Version1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/Rito_Version1.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/Rito_Version1.2") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/Rito_Version1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/May14_09-07-39_r-lrj1981-rito-bvamzz15-af43e-hz6l9/events.out.tfevents.1715677662.r-lrj1981-rito-bvamzz15-af43e-hz6l9.68.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1c59753f744d57482d1fd8bb04201164183638c523a5afe79f785b18b639fd1
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size 5614
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