Update README.md

README.md

@@ -102,43 +102,12 @@ language:
 tags:
   - audio
   - automatic-speech-recognition
+  - ctranslate2
 license: mit
 library_name: ctranslate2
+pipeline_tag: automatic-speech-recognition
 ---
 
-# Whisper base model for CTranslate2
-
-This repository contains the conversion of [openai/whisper-base](https://huggingface.co/openai/whisper-base) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
-
-This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/guillaumekln/faster-whisper).
-
-## Example
-
-```python
-from faster_whisper import WhisperModel
-
-model = WhisperModel("base")
-
-segments, info = model.transcribe("audio.mp3")
-for segment in segments:
-    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
-```
-
-## Conversion details
-
-The original model was converted with the following command:
-
-```
-ct2-transformers-converter --model openai/whisper-base --output_dir faster-whisper-base \
-    --copy_files tokenizer.json --quantization float16
-```
-
-Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the [`compute_type` option in CTranslate2](https://opennmt.net/CTranslate2/quantization.html).
-
-## More information
-
-**For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-base).**
-
 A copy of `rhasspy/faster-whisper-base-int8` , with metadata added for `speaches` to recognize.
 
 ---