Instructions to use slplab/5sents_XLS-R_2_e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/5sents_XLS-R_2_e-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/5sents_XLS-R_2_e-4")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/5sents_XLS-R_2_e-4") model = AutoModelForCTC.from_pretrained("slplab/5sents_XLS-R_2_e-4") - 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:cc8e2e459fc436f63442da7593c8ff540ec1d2c6598082870e92f1a30b3386ff
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size 1262078032
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