Instructions to use mitchelldehaven/whisper-large-v2-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mitchelldehaven/whisper-large-v2-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mitchelldehaven/whisper-large-v2-ru", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mitchelldehaven/whisper-large-v2-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("mitchelldehaven/whisper-large-v2-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6a04bab857104efba95fab2d7d034189f6da035dc81063891096fdc44322077
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size 6173370152
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