Instructions to use Ramikan-BR/tinyllama-coder-py-4bit_LORA-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramikan-BR/tinyllama-coder-py-4bit_LORA-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ramikan-BR/tinyllama-coder-py-4bit_LORA-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- c4173f0267af33d3da7fa4212c0b7423ac2ba2c21c7558e6829b10481314f5d1
- Size of remote file:
- 807 MB
- SHA256:
- 99c234656144d9ac58925bd5ec5e88853c836d447054a79b7cd4c557fb6b00cb
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