Instructions to use maomao0301/hackathon-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maomao0301/hackathon-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maomao0301/hackathon-t5") model = AutoModelForSeq2SeqLM.from_pretrained("maomao0301/hackathon-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d1461e06506fe32a1b3ed5a274ecfd3f078638d7ea2576b0e6596b4f2a84302
- Size of remote file:
- 3.13 GB
- SHA256:
- 030bbaf082934f4a01e0260a355ccad959f0128441d3f94864157feae3aa117a
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