Instructions to use rantidevsharma/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rantidevsharma/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rantidevsharma/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| base_model: unsloth/llama-3-8b-bnb-4bit | |
| # Uploaded model | |
| - **Developed by:** rantidevsharma | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit | |