Instructions to use mpalaval/assignment2_attempt8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_attempt8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_attempt8") model = AutoModelForSeq2SeqLM.from_pretrained("mpalaval/assignment2_attempt8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd2a3ef0e70cec1f82a60edea5f6d2944d54eab2dd6b88ab3cec84229a39418
- Size of remote file:
- 4.73 kB
- SHA256:
- 992a529dc305953374ec0cc68d9384ecd84e7a1a5cf54e9a02c01bded3ab0b75
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