Instructions to use Akashpb13/ailabs_proj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akashpb13/ailabs_proj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akashpb13/ailabs_proj")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akashpb13/ailabs_proj") model = AutoModelForCTC.from_pretrained("Akashpb13/ailabs_proj", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9bc72bc110f129d2bc4507ee51c49a0f04c72c7975efc1868c407956509b4f91
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size 623
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