oprettet en distilled version af hviskev2

README.md

@@ -1,3 +1,23 @@
----
-license: apache-2.0
----
+# HviskeTiske 
+## HviskeV2 turbo model for CTranslate2
+This repository contains the conversion of pluttodk/hviske-tiske to the CTranslate2 model format.
+
+This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
+
+# Example
+```python
+from faster_whisper import WhisperModel
+
+model = WhisperModel("pluttodk/hviske-tiske")
+
+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 using the code from [Github](https://github.com/Pluttodk/hvisketiske)
+
+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.
+
+# Performance:
+

config.json

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+{
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+}

model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:24e6e5b8635d88a1327c9fe32f6284f18800b46170136043372e3405ec4a4282
+size 3087284237

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}