使用whisper-small微调后的模型:在线演示 openai/whisper-tiny openai/whisper-base openai/whisper-small openai/whisper-medium openai/whisper-large openai/whisper-large-v2 openai/whisper-large-v3 openai/whisper-large-v3-turbo 欢迎大家扫码入知识星球(左)或者QQ群(右)讨论,知识星球里面提供项目的模型文件和博主...
We'll start our fine-tuning run from the pre-trained Whisper small checkpoint. To do this, we'll load the pre-trained weights from the Hugging Face Hub. Again, this is trivial through use of 🤗 Transformers!from transformers import WhisperForConditionalGeneration model = WhisperForConditional...
Now let's load the pre-trained Whisper small checkpoint. Again, this is trivial through use of 🤗 Transformers! from transformers import WhisperForConditionalGeneration model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-small") At inference time, the Whisper model automatically de...
python3.8scripts/resample.py "{PRETRAINED_MODEL}":如果预训练模型为中日英三语则替换为"CJE";如果为中日双语则替换为"CJ";如果为纯中文则替换为"C" whisper_size: 可选择medium和large 2.5 划分训练/测试集并标注 #@markdown 运行该单元格会生成划分好训练/测试集的最终标注,以及配置文件#@markdown Running ...
: 15737-15749.[R2] Xu, Tian, et al. "Understanding Adversarial Imitation Learning in Small ...
We'll start our fine-tuning run from the pre-trained Whisper small checkpoint. To do this, we'll load the pre-trained weights from the Hugging Face Hub. Again, this is trivial through use of 🤗 Transformers! from transformers import WhisperForConditionalGeneration model = Whispe...
We'll start our fine-tuning run from the pre-trained Whisper small checkpoint. To do this, we'll load the pre-trained weights from the Hugging Face Hub. Again, this is trivial through use of 🤗 Transformers! from transformers import WhisperForConditionalGeneration model = WhisperForC...
下面,我们将以多语种版的 smallcheckpoint (参数量 244M (~= 1GB)) 为例,带大家走一遍微调模型的全过程。我们将使用 Common Voice 数据集里的小语种数据来训练和评估我们的系统。通过这个例子,我们将证明,仅需 8 小时的训练数据就可以微调出一个在该语种上表现强大的语音识别模型。 1 Whis...
"dataset_args": "config: hi, split: test", "language": "hi", "model_name": "Whisper Small Hi - Sanchit Gandhi", # a 'pretty' name for your model "finetuned_from": "openai/whisper-small", 0 comments on commit d17b136 Please sign in to comment. Footer...
python3 evaluate/evaluate_on_hf_dataset.py \ --is_public_repo True \ --hf_model vasista22/whisper-kannada-small \ --language kn \ --dataset "google/fleurs" \ --config kn_in \ --split test \ --device 0 \ --batch_size 16 \ --output_dir predictions_dir...