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  1. README.md +6 -6
README.md CHANGED
@@ -56,9 +56,9 @@ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingf
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  | Model | Common Voice 11.0 |
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  | --- | :---: |
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- | [bofenghuang/whisper-small-cv11-german-punct](https://huggingface.co/bofenghuang/whisper-small-cv11-german-punct) | 11.35 |
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- | [bofenghuang/whisper-medium-cv11-german-punct](https://huggingface.co/bofenghuang/whisper-medium-cv11-german-punct) | 7.05 |
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- | [bofenghuang/whisper-large-v2-cv11-german-punct](https://huggingface.co/bofenghuang/whisper-large-v2-cv11-german-punct) | **5.76** |
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  ## Usage
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@@ -73,7 +73,7 @@ from transformers import pipeline
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  # Load pipeline
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- pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v2-cv11-german-punct", device=device)
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  # NB: set forced_decoder_ids for generation utils
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  pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="de", task="transcribe")
@@ -111,8 +111,8 @@ from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  # Load model
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- model = AutoModelForSpeechSeq2Seq.from_pretrained("bofenghuang/whisper-large-v2-cv11-german-punct").to(device)
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- processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v2-cv11-german-punct", language="german", task="transcribe")
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  # NB: set forced_decoder_ids for generation utils
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  model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language="de", task="transcribe")
 
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  | Model | Common Voice 11.0 |
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  | --- | :---: |
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+ | [bofenghuang/whisper-small-cv11-german](https://huggingface.co/bofenghuang/whisper-small-cv11-german) | 11.35 |
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+ | [bofenghuang/whisper-medium-cv11-german](https://huggingface.co/bofenghuang/whisper-medium-cv11-german) | 7.05 |
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+ | [bofenghuang/whisper-large-v2-cv11-german](https://huggingface.co/bofenghuang/whisper-large-v2-cv11-german) | **5.76** |
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  ## Usage
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  # Load pipeline
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+ pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v2-cv11-german", device=device)
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  # NB: set forced_decoder_ids for generation utils
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  pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="de", task="transcribe")
 
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  # Load model
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+ model = AutoModelForSpeechSeq2Seq.from_pretrained("bofenghuang/whisper-large-v2-cv11-german").to(device)
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+ processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v2-cv11-german", language="german", task="transcribe")
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  # NB: set forced_decoder_ids for generation utils
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  model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language="de", task="transcribe")