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Update README.md

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@@ -148,7 +148,7 @@ from datasets import load_dataset
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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- model_id = "openai/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
@@ -252,7 +252,7 @@ from datasets import Audio, load_dataset
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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- model_id = "openai/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
@@ -327,7 +327,7 @@ from datasets import load_dataset
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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- model_id = "openai/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
@@ -373,7 +373,7 @@ torch.set_float32_matmul_precision("high")
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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- model_id = "openai/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
@@ -472,7 +472,7 @@ checkpoints are summarised in the following table with links to the models on th
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  | large | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large) |
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  | large-v2 | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large-v2) |
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  | large-v3 | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large-v3) |
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- | large-v3-turbo | 809 M | x | [✓](https://huggingface.co/openai/whisper-large-v3-turbo) |
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  ## Fine-Tuning
 
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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+ model_id = "ylacombe/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
 
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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+ model_id = "ylacombe/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
 
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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+ model_id = "ylacombe/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
 
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  device = "cuda:0" if torch.cuda.is_available() else "cpu"
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  torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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+ model_id = "ylacombe/whisper-large-v3-turbo"
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  model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
 
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  | large | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large) |
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  | large-v2 | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large-v2) |
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  | large-v3 | 1550 M | x | [✓](https://huggingface.co/openai/whisper-large-v3) |
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+ | large-v3-turbo | 809 M | x | [✓](https://huggingface.co/ylacombe/whisper-large-v3-turbo) |
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  ## Fine-Tuning