Instructions to use mpalaval/assignment2_attempt6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_attempt6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_attempt6") model = AutoModelForSeq2SeqLM.from_pretrained("mpalaval/assignment2_attempt6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0088a0a231fdef02649f4b45bb30e3ee60be023c4056704d4eec8826a53f4ddc
- Size of remote file:
- 4.73 kB
- SHA256:
- cbd3b2b14081fccce762c589678b78b14f4db56289d58a87f617a72073a983f3
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