Instructions to use krish53/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krish53/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("krish53/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use krish53/lora_model 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 krish53/lora_model 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 krish53/lora_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for krish53/lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="krish53/lora_model", max_seq_length=2048, )
- Xet hash:
- d05f579bb8a88a1db6eb6f59219b0a9e3c3c6d66f456212cfe80edcc6a7fd126
- Size of remote file:
- 97.3 MB
- SHA256:
- 2f341d4052442d8566e578f93160447e3cc6d41e841dcf87cd7bd1710438e5ae
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