Instructions to use ashesicsis1/lv60-languageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashesicsis1/lv60-languageModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ashesicsis1/lv60-languageModel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ashesicsis1/lv60-languageModel") model = AutoModelForCTC.from_pretrained("ashesicsis1/lv60-languageModel") - 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 sha256:6cb107c197ee9de9b155f4697ec92900e07097ab23b1633e54a0b57b4e55dc3b
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size 1261975532
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