Instructions to use Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 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 Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 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 Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Mubin1917/lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2", max_seq_length=2048, )
lora_model_unsloth-Phi-3.5-mini-instruct-hermes-function-calling-clean-2 / adapter_model.safetensors
- Xet hash:
- c2a5bf63fa07b427d4ca08f130e59fc8c1b7a8daa8aa4da406a9626a3f6e0274
- Size of remote file:
- 120 MB
- SHA256:
- e1eb9eb34f57159116b217cc7d94b2d10281b66b81655359a5f96f87f8d09c1f
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