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:
- aabd9f9c5ad68bb61ef00d1ca45c985054d470e1e8676a34bddfb7ddb810c603
- Size of remote file:
- 3.44 kB
- SHA256:
- 7ec1e51fb013ae48ede6044437716331cb3222f8271e67ecf77682e127a88ecc
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