Instructions to use reshinthadith/FlashFill-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reshinthadith/FlashFill-T5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reshinthadith/FlashFill-T5") model = AutoModelForSeq2SeqLM.from_pretrained("reshinthadith/FlashFill-T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0117d384bd7558aebcd4d6511b9d9f4cd7096c54db97d1f58e28b8344c635230
- Size of remote file:
- 242 MB
- SHA256:
- 6788150acfebda578b7c5a4618be54792994449f3171e9fae811973ce7e3d09b
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