Instructions to use Kyle1668/imdb-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyle1668/imdb-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kyle1668/imdb-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Kyle1668/imdb-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6f85d3b585286f7aa52398ff7079f0e0d09a2d6d3ab1f92453f27e00401bfed
- Size of remote file:
- 5.9 GB
- SHA256:
- 22d4e81bcdbae177c2bf498faaf54bb13e2fc0206506ccc634548e4844605dae
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