Instructions to use debbiesoon/summarise_v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/summarise_v10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/summarise_v10") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/summarise_v10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705eacd5e06f3bc1c62af2a067b2cd78d4fc9d02cc3b88f964c4f5038fd4746b
- Size of remote file:
- 648 MB
- SHA256:
- 211181c546bd944c5df6cdc21a0ff8c9d0f12494c027a3293691d6fb0d53f3b4
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