Instructions to use LRJ1981/RITO_Version1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/RITO_Version1.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/RITO_Version1.0") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/RITO_Version1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ccc1ab926e8fb3fb80c73e05afe7414f6dbe0befc5c1dbd3f5814c2577694de
- Size of remote file:
- 595 MB
- SHA256:
- fb10c9a9b5167b78dac95cbfe336dae54d92f2d3da8e3b8f9857c14c9adddc37
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