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:
- 0d6291e312edaa282b11b00e60fa2f5ea46688a4c86964e93d7c104b241731b0
- Size of remote file:
- 892 MB
- SHA256:
- ed0593d4965d054cd3f27841ba040f6e8ab653c18f7d3fce1398a985bba1df92
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