avemio
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German-RAG-WHISPER-LARGE-v3-TURBO-HESSIAN-AI

Automatic Speech Recognition

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avemio-digital commited on Jan 7

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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 # GRAG-WHISPER-LARGE-v3-TURBO
-This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on a carefully curated dataset.
 ## Evaluations - Word error rate
@@ -58,7 +58,7 @@ from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 from datasets import load_dataset
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
-model_id = "primeline/whisper-large-v3-turbo-german"
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
     model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
 )

 # GRAG-WHISPER-LARGE-v3-TURBO
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on a carefully curated 13 hour dataset.
 ## Evaluations - Word error rate
 from datasets import load_dataset
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+model_id = "avemio/GRAG-WHISPER-LARGE-v3-TURBO"
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
     model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
 )