Instructions to use moelanoby/kok-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moelanoby/kok-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moelanoby/kok-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - open-r1/OpenR1-Math-220k | |
| - FreedomIntelligence/medical-o1-reasoning-SFT | |
| language: | |
| - en | |
| - ar | |
| metrics: | |
| - accuracy | |
| library_name: transformers | |
| new_version: moelanoby/kok-baseV2 | |
| This model is made to be a good AI model with a custom architecture and it's going to be made from scratch entirely | |
| and since this is a custom architecture you need to use the following python code | |
| ```python | |
| from transformers import AutoConfig, AutoModel | |
| config = AutoConfig.from_pretrained("moelanoby/kok-base") | |
| model = AutoModel.from_config(config) | |
| ``` | |
| The previous script uses the correct implementation to do it | |
| you can finetune this model to an LLM | |
| you can use it for any use case and I won't care | |
| and while you're at it you can support me with buy me a coffee :D | |
| http://www.buymeacoffee.com/Moelanoby | |
| :> |