Instructions to use lee1111/foodparser2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lee1111/foodparser2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lee1111/foodparser2") model = AutoModelForSeq2SeqLM.from_pretrained("lee1111/foodparser2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23441c187b6bf6f03376f92732e3eacb6bb7f223237d72dee9a6bed92961812d
- Size of remote file:
- 990 MB
- SHA256:
- f4aa6f5b226b7dfe39d119628b2348fc5388abad72df09ec1b2892df0771bc54
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