Instructions to use ishanarang/lora_model_it_updated_longdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishanarang/lora_model_it_updated_longdata with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ishanarang/lora_model_it_updated_longdata", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use ishanarang/lora_model_it_updated_longdata with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ishanarang/lora_model_it_updated_longdata to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ishanarang/lora_model_it_updated_longdata to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ishanarang/lora_model_it_updated_longdata to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ishanarang/lora_model_it_updated_longdata", max_seq_length=2048, )
| base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| license: apache-2.0 | |
| language: | |
| - en | |
| # Uploaded model | |
| - **Developed by:** ishanarang | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-bnb-4bit | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |