Instructions to use nandhakumar7/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nandhakumar7/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nandhakumar7/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use nandhakumar7/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 nandhakumar7/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 nandhakumar7/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 nandhakumar7/lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nandhakumar7/lora_model", max_seq_length=2048, )
- Xet hash:
- 262a6b00f3c5cbb7a8b9de05127d1cd0c970b7128b752f9a1328df4b313c28fc
- Size of remote file:
- 336 MB
- SHA256:
- fbb9b361279bce1416568b26e5ac15f062cd5218d89ad724b31b458ff8b46e1c
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