Instructions to use luffycodes/t5_base_v52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/t5_base_v52 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/t5_base_v52") model = AutoModelForSeq2SeqLM.from_pretrained("luffycodes/t5_base_v52", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aeeedb277808fb3ed53481fa717329926d382681baedf57864135c0cef4deda
- Size of remote file:
- 892 MB
- SHA256:
- 5561d2f45ba97aea835112930502dc6c42526e109a94081bfb54d76fcabc200d
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