Automatic Speech Recognition
Transformers
Safetensors
Japanese
whisper
audio
hf-asr-leaderboard
Eval Results
Inference Endpoints
asahi417 commited on
Commit
30b203f
•
1 Parent(s): 053eaa2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -0
README.md CHANGED
@@ -283,6 +283,11 @@ Then pass `attn_implementation="flash_attention_2"` to `from_pretrained`:
283
  See [https://huggingface.co/distil-whisper/distil-large-v3#model-details](https://huggingface.co/distil-whisper/distil-large-v3#model-details).
284
 
285
 
 
 
 
 
 
286
  ## Evaluation
287
  The following code-snippets demonstrates how to evaluate the kotoba-whisper model on the Japanese subset of the CommonVoice 8.0.
288
  First, we need to install the required packages, including 🤗 Datasets to load the audio data, and 🤗 Evaluate to
 
283
  See [https://huggingface.co/distil-whisper/distil-large-v3#model-details](https://huggingface.co/distil-whisper/distil-large-v3#model-details).
284
 
285
 
286
+ ## Training
287
+ Please refer to [https://github.com/kotoba-tech/kotoba-whisper](https://github.com/kotoba-tech/kotoba-whisper) for the model training detail.
288
+ Datasets used in distillation and the whole model variations can be found at [https://huggingface.co/japanese-asr](https://huggingface.co/japanese-asr).
289
+
290
+
291
  ## Evaluation
292
  The following code-snippets demonstrates how to evaluate the kotoba-whisper model on the Japanese subset of the CommonVoice 8.0.
293
  First, we need to install the required packages, including 🤗 Datasets to load the audio data, and 🤗 Evaluate to