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:
- 5b29dac439f08d40a3def0bebee9f524b53d81c1e63611b37e21eb6fe18ba7f1
- Size of remote file:
- 892 MB
- SHA256:
- 69187c1ed464576ac99e0f0f1c1a990efbb0801cc119f3d710f85d0b1553b6ef
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