Instructions to use Ramikan-BR/tinyllama-coder-py-LORA-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramikan-BR/tinyllama-coder-py-LORA-v21 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ramikan-BR/tinyllama-coder-py-LORA-v21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 69dd9f7e9845249af5d1683f4d7de7996afc7a0b656a7f86ffdd85a0866c9e84
- Size of remote file:
- 807 MB
- SHA256:
- 8c9ab4dd9e7f151524f11e0dce508f65e4e99d52283bcd3fad0481c6ca7a4222
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