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Whisper - get probability of detected language
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上游 issue 正文
### System Info
- `transformers` version: 4.38.0.dev0
- Platform: Linux-4.15.0-142-generic-x86_64-with-glibc2.23
- Python version: 3.10.11
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.27.2
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0+cu121 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
### Who can help?
@sanchit-gandhi I guess, since he's the one who provided the answer in the previous git issue.
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Following #25138, @sanchit-gandhi provided an answer to retrieve the language using Whisper model and processor (since Whisper conditionnal tokens include the language token). He later provided a little adaptation in order to get the probability of the language. This is a nice possibility. However, using the latest version of transformers it seems that it's not possible anymore (that's why I write it as a bug but could also be a feature request).
Quick example in order to check :
```python
language_identification = WhisperForConditionalGeneration.from_pretrained("openai/whisper-small").to("cuda:0")
lid_processor = WhisperProcessor.from_pretrained("openai/whisper-small")
audio, _ = librosa.load(<my_file>, sr=16000)
lid = lid_processor(audio, sampling_rate=16000, return_tensors="pt", truncation=True)
input_features = lid.input_features.to("cuda:0", torch.float32)
outputs = language_identification.generate(input_features,
output_scores=True,
return_dict_in_generate=True,
max_new_tokens=1)
pred_text = lid_processor.batch_decode(outputs.sequences, skip_special_tokens=False)
pred_text
```
`pred_text` is :
```
['<|startoftranscript|><|en|><|transcribe|><|notimestamps|> 80']
```
Here we see the conditionnal tokens as well as my only transcription token ` …
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