Instructions to use KatMarie/eu-withLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KatMarie/eu-withLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KatMarie/eu-withLM")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KatMarie/eu-withLM") model = AutoModelForCTC.from_pretrained("KatMarie/eu-withLM") - 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 sha256:4c92847df2f99f7727e726eccd6958e427abc0df079f1b6a59d4e1cfe4e1e4cc
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size 1261938632
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