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
Download tokenizer.json from Ramikan-BR/tinyllama-coder-py-LORA-v21: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Ramikan-BR/tinyllama-coder-py-LORA-v21/resolve/66a0fbb11510ecad6cf9d306b08b9283ecb3f516/tokenizer.json
- Command line
-
hf download hf://Ramikan-BR/tinyllama-coder-py-LORA-v21@66a0fbb11510ecad6cf9d306b08b9283ecb3f516/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ramikan-BR/tinyllama-coder-py-LORA-v21/resolve/66a0fbb11510ecad6cf9d306b08b9283ecb3f516/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.