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:
- 45621c0282fc526f7d176f2e86ff02035c75986adf07403f2210af229a99a0b4
- Size of remote file:
- 35.5 MB
- SHA256:
- ff9db7d888881768814e93c7edadb3bdecac93dda6030d9b1159b316cff05291
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