Instructions to use rayvvv/mms-1b-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayvvv/mms-1b-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rayvvv/mms-1b-multilingual")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rayvvv/mms-1b-multilingual") model = AutoModelForCTC.from_pretrained("rayvvv/mms-1b-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:0f1d95ce43d27e03d5d8dd56c697c805460f967c793dd2cbec2e8e8012deda98
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size 3859521128
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