Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
audio
Eval Results
Instructions to use algorithco/distil-large-v3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algorithco/distil-large-v3.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="algorithco/distil-large-v3.5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("algorithco/distil-large-v3.5") model = AutoModelForSpeechSeq2Seq.from_pretrained("algorithco/distil-large-v3.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from algorithco/distil-large-v3.5: direct link, hf CLI and curl.
- Browser
- Download file 2.48 MB
-
https://huggingface.co/algorithco/distil-large-v3.5/resolve/main/tokenizer.json
- Command line
-
hf download hf://algorithco/distil-large-v3.5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/algorithco/distil-large-v3.5/resolve/main/tokenizer.json
2.48 MB
File too large to display, you can check the raw version instead.