Instructions to use mirralz/Llmka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirralz/Llmka with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mirralz/Llmka", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b471fea9c113fcfb429df92a2fa5b255119b966c43c845746a9ce5269a30476
- Size of remote file:
- 319 MB
- SHA256:
- 6bd6fbfc5ce95e0eb1d2b27b2f4e56a77651d46467507253c91411b908e34fcd
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