Instructions to use shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca 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 shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca 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 shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="shahidul034/Phi-3.5-mini-instruct_en-ru_alpaca", max_seq_length=2048, )
- Xet hash:
- 32902534ccfa8205e3cfc1815461d3c3133e7e7408b7877c7a1f77af00c8372c
- Size of remote file:
- 120 MB
- SHA256:
- e4e971f443bad7f320b46fd25beec036869c960a62a343a566ebabefc5baf12c
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