Instructions to use jrodriiguezg/grape-chardonnay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jrodriiguezg/grape-chardonnay with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrodriiguezg/grape-chardonnay") model = AutoModelForSeq2SeqLM.from_pretrained("jrodriiguezg/grape-chardonnay", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7ca288542fe38935faed6c564854d2a85a9008f09428f70533139f9e452bd7e
- Size of remote file:
- 58.4 MB
- SHA256:
- 44f791f306e053c75ac2370827bf4be4899f193c2a8db7768550e3a442ba33f6
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