Instructions to use xkeyC/whisper-large-v3-turbo-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xkeyC/whisper-large-v3-turbo-gguf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xkeyC/whisper-large-v3-turbo-gguf")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xkeyC/whisper-large-v3-turbo-gguf") model = AutoModelForSpeechSeq2Seq.from_pretrained("xkeyC/whisper-large-v3-turbo-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
whisper-large-v3-turbo-gguf.ipynb doesn't work
#1
by alejsch84 - opened
When trying to load the model (either using pipeline or AutoModelForSpeechSeq2Seq.from_pretrained) the following error occurs:
"OSError: xkeyC/whisper-large-v3-turbo-gguf does not appear to have a file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt or flax_model.msgpack."
This model works with candle-transformers 'https://github.com/huggingface/candle/blob/main/candle-transformers/src/models/whisper/quantized_model.rs'
For python transformers, you may have to load it manually from file.