Instructions to use NaoS2/multi-kogi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NaoS2/multi-kogi2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NaoS2/multi-kogi2") model = AutoModelForSeq2SeqLM.from_pretrained("NaoS2/multi-kogi2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17a0f056f408a46f7fc911942581b09e2af1b88489754be0aae74a3c1ff187cb
- Size of remote file:
- 1.2 GB
- SHA256:
- d42f1a0b5dad0c4440c0a4eb3a1f74f78c8b15d2a6c20078c8ce422e31412ddf
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