Update README.md

README.md

@@ -1,3 +1,54 @@
 ---
 license: cc-by-4.0
+language:
+- is
+datasets:
+- language-and-voice-lab/samromur_asr
+- language-and-voice-lab/samromur_children
+- language-and-voice-lab/malromur_asr
+- language-and-voice-lab/althingi_asr
+tags:
+- audio
+- automatic-speech-recognition
+- icelandic
+- whisper
+- whisper-large
+- iceland
+- reykjavik
+- samromur
+- faster-whisper
 ---
+# whisper-large-icelandic-30k-steps-1000h-ct2
+
+This is a faster-whisper version of [language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h](https://huggingface.co/language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h).
+
+The model was created as such like described in [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master):
+
+```bash
+ct2-transformers-converter --model language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h \
+    --output_dir whisper-large-icelandic-30k-steps-1000h-ct2 \
+    --quantization float16
+```
+
+# Usage
+
+```python
+from faster_whisper import WhisperModel
+
+model_size = "whisper-large-icelandic-30k-steps-1000h-ct2"
+
+# Run on GPU with FP16
+model = WhisperModel(model_size, device="cuda", compute_type="float16")
+
+# or run on GPU with INT8
+# model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
+# or run on CPU with INT8
+# model = WhisperModel(model_size, device="cpu", compute_type="int8")
+
+segments, info = model.transcribe("audio.mp3", 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))
+```