Instructions to use mpalaval/assignment2_attempt7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_attempt7 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_attempt7") model = AutoModelForSeq2SeqLM.from_pretrained("mpalaval/assignment2_attempt7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5737715d19d4bfd4f11a09388e794d1ba1fbfcd573ec2b083640761a8964f10
- Size of remote file:
- 4.73 kB
- SHA256:
- 76279ed6cea401663a705af5027702ab2f9be1dc3d8a94bc109c33926d67643d
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