Instructions to use Ex0bit/jit-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Ex0bit/jit-lora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir jit-lora Ex0bit/jit-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 470 Bytes
848e392 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | CC = xcrun clang
CFLAGS = -O2 -Wall -Wno-deprecated-declarations -fobjc-arc -fPIC
FRAMEWORKS = -framework Foundation -framework IOSurface -ldl
TARGET = libane_bridge.dylib
all: $(TARGET)
$(TARGET): ane_bridge.m ane_bridge.h
$(CC) $(CFLAGS) -dynamiclib -o $@ ane_bridge.m $(FRAMEWORKS)
test: test_bridge.m ane_bridge.h $(TARGET)
$(CC) $(CFLAGS) -o test_bridge test_bridge.m -L. -lane_bridge $(FRAMEWORKS)
clean:
rm -f $(TARGET) test_bridge
.PHONY: all clean test
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