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Patrick von Platen
2021-10-14 15:46:22 +02:00
committed by GitHub
parent 7604557e44
commit 7fb2a8b3d9
20 changed files with 35 additions and 35 deletions
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4
docs/source/model_doc/speech_to_text.rst
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@@ -66,7 +66,7 @@ be installed as follows: ``apt install libsndfile1-dev``
... batch["speech"] = speech
... return batch
>>> ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
>>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
>>> ds = ds.map(map_to_array)
>>> inputs = processor(ds["speech"][0], sampling_rate=16_000, return_tensors="pt")
@@ -98,7 +98,7 @@ be installed as follows: ``apt install libsndfile1-dev``
... batch["speech"] = speech
... return batch
>>> ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
>>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
>>> ds = ds.map(map_to_array)
>>> inputs = processor(ds["speech"][0], sampling_rate=16_000, return_tensors="pt")

4
docs/source/model_doc/speech_to_text_2.rst
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@@ -68,7 +68,7 @@ predicted token ids.
... batch["speech"] = speech
... return batch
>>> ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
>>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
>>> ds = ds.map(map_to_array)
>>> inputs = processor(ds["speech"][0], sampling_rate=16_000, return_tensors="pt")
@@ -86,7 +86,7 @@ predicted token ids.
>>> from datasets import load_dataset
>>> from transformers import pipeline
>>> librispeech_en = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
>>> librispeech_en = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
>>> asr = pipeline("automatic-speech-recognition", model="facebook/s2t-wav2vec2-large-en-de", feature_extractor="facebook/s2t-wav2vec2-large-en-de")
>>> translation_de = asr(librispeech_en[0]["file"])