Instructions to use debbiesoon/summarise_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/summarise_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/summarise_v2") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/summarise_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f7d8ab4a3829b427313c656b0ff9ca4236b96a8ae8b4a7f02d76de462d03c0
- Size of remote file:
- 648 MB
- SHA256:
- dea407e0aa60f7e9f5d4fc466d41b9bb4be350822bcdfbb2ea35ee114841b475
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