Instructions to use lengocquangLAB/T5-JSON-OM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lengocquangLAB/T5-JSON-OM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lengocquangLAB/T5-JSON-OM") model = AutoModelForSeq2SeqLM.from_pretrained("lengocquangLAB/T5-JSON-OM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43d247f1d26bb4ec58b36ed18dd37a0e5ce21ac8bfe7b76bd220736f906b2133
- Size of remote file:
- 5.43 kB
- SHA256:
- 7754d283dc27cfed273d8834fcb7379cf8629985603ec172f2d9db14113e0f58
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