Instructions to use NaoS2/multi-kogi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaoS2/multi-kogi3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NaoS2/multi-kogi3") model = AutoModelForSeq2SeqLM.from_pretrained("NaoS2/multi-kogi3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35422714790d64b632bd25f53e136913a07b276bef8ac4938ae7afd61776e4b0
- Size of remote file:
- 766 kB
- SHA256:
- 2e58f5014605fc6c0b180f17825aaf9bed4116d08ac73f6f98a4d07e9a102a63
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