Instructions to use Chat-Error/flant5_reward_chai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chat-Error/flant5_reward_chai with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chat-Error/flant5_reward_chai") model = AutoModelForSeq2SeqLM.from_pretrained("Chat-Error/flant5_reward_chai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cafe0aa258ab68dd9eeadd86547336ffb6b8e30cfa1e9e83b73fe5770cde9c0b
- Size of remote file:
- 990 MB
- SHA256:
- cd3db58c110fa2e10cfab4fc09c4a6c7d723e96d530bb80cbf30724e3958bf61
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