Update README.md

README.md

@@ -1,3 +1,21 @@
----
-license: mit
----
+---
+license: mit
+---
+# A fork of voicekit-team/T-one with ONNX and CUDA support. 
+
+Solves the problem of extremely slow operation of the model on some devices and adds the ability to run inference directly from the GPU code.
+
+```
+!pip install git+https://github.com/NikiPshg/T-one-cuda-onnx.git
+```
+## Usage example
+```
+from tone import StreamingCTCPipeline, read_audio, read_example_audio
+
+
+audio = read_example_audio() # or read_audio("your_audio.flac")
+# device_id device_id if the graphics card is not found, the CPU is used
+pipeline = StreamingCTCPipeline.from_hugging_face(device_id=0)
+print(pipeline.forward_offline(audio))  # offline recognition using onnx cuda
+
+```