Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- cy
+- en
+base_model:
+- techiaith/whisper-large-v3-ft-verbatim-cy-en
+pipeline_tag: automatic-speech-recognition
+tags:
+- faster-whisper
+---
+
+**Model Name:** ExampleTransformer-CT2
+
+**Model Description:**
+
+This model card describes `whisper-large-v3-ft-verbatim-cy-en-ct2`, a conversion of the `techiaith/whisper-large-v3-ft-verbatim-cy-en` 
+fine-tuned OpenAI whisper model to the CTranslate2 format. This conversion allows for significantly faster and more efficient 
+inference, particularly on CPU and with batching. 
+
+
+**How to Use:**
+
+```python
+from faster_whisper import WhisperModel
+
+audio_file_path=<path to your audio file>
+
+model = WhisperModel("techiaith/whisper-large-v3-ft-verbatim-cy-en-ct2")
+segments, info = model.transcribe(audio_file_path, beam_size=5)
+
+print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
+for segment in segments:
+    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+```
+
+```
+Detected language 'cy' with probability 0.999987
+[0.00s -> 4.24s] Dwi teimlo weithie unwaith ti'n cyfadda bo' na rwbath yn bod ma'n wir wedyn dydi?
+```