I’m using whisper to transcribe audio to text. I decided to use distil -whisper to speed it up. I’ve been trying to follow the instructions on Hugging Face but keep getting an error. I’m running this code sequentially and there are no issues.

**

!pip install virtualenv
!virtualenv myenv
!myenv/bing/pip install datasets
!source myenv/bin/activate
!myenv/bin/pip install --upgrade pip
!myenv/bin/pip install --upgrade transformers accelerate datasets

**

But then I add this code and I get an error.

import torch
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 = "distil-whisper/distil-large-v3"

model = AutoModelForSpeechSeq2Seq.from_pretrained(
    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
)
model.to(device)

processor = AutoProcessor.from_pretrained(model_id)

pipe = pipeline(
    "automatic-speech-recognition",
    model=model,
    tokenizer=processor.tokenizer,
    feature_extractor=processor.feature_extractor,
    max_new_tokens=128,
    torch_dtype=torch_dtype,
    device=device,
)

dataset = load_dataset("distil-whisper/librispeech_long", "clean", split="validation")
sample = dataset[0]["audio"]

result = pipe(sample)
print(result["text"])

ModuleNotFoundError Traceback (most recent call last)
in <cell line: 3>()
1 import torch
2 from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
—-> 3 from datasets import load_dataset
4
5

ModuleNotFoundError: No module named ‘datasets’

I didn’t get an error when I installed datasets so I don’t understand why I’m getting an error now.