Instructions to use julianubc/lab1_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julianubc/lab1_finetuning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("julianubc/lab1_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("julianubc/lab1_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07012636bda6c8c84a421106bc26a0e0f8e26354c5ae8da12c4449194ae3b3e0
- Size of remote file:
- 5.43 kB
- SHA256:
- 2577739940fb230ddff218ba3c18b9cae59f0182f3ef7b6d104ce228262715b7
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