Instructions to use rchiang/ingredients-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rchiang/ingredients-parser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rchiang/ingredients-parser") model = AutoModelForSeq2SeqLM.from_pretrained("rchiang/ingredients-parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbb8f02d954134f847e4f3f7797f7a5c7313d68eb642faaa22bdbde8dc050a20
- Size of remote file:
- 368 MB
- SHA256:
- 0e31b31c6048ff2c4847f8513dcfe3c95683b9eef6ca858a336e45bc5255522c
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