Instructions to use Sadhana-24/lora_model_1_epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sadhana-24/lora_model_1_epoch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sadhana-24/lora_model_1_epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Sadhana-24/lora_model_1_epoch 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 Sadhana-24/lora_model_1_epoch 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 Sadhana-24/lora_model_1_epoch to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sadhana-24/lora_model_1_epoch to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Sadhana-24/lora_model_1_epoch", max_seq_length=2048, )
- Xet hash:
- ece1271b0a7e541b589d5d2ad787ffd0c5a117387054b0da9d9b32d7dc74eaf8
- Size of remote file:
- 206 MB
- SHA256:
- d0a373cf43f481d4d4053d52f72bbef62153427441b3722d50a7160020dedbd9
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