Instructions to use dgunzy/capstone-t5-flan-summerizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgunzy/capstone-t5-flan-summerizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dgunzy/capstone-t5-flan-summerizer") model = AutoModelForSeq2SeqLM.from_pretrained("dgunzy/capstone-t5-flan-summerizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96def337cf4e68a08a47ce5a719bb1b3d02472e19622219d846475bfce811303
- Size of remote file:
- 3.13 GB
- SHA256:
- 9880bc7f9b0828141ca3a13f94621a832d02eed3fc03d574fb1d382c324e2ae4
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