Instructions to use gciaffoni/modelLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gciaffoni/modelLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gciaffoni/modelLM")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gciaffoni/modelLM") model = AutoModelForCTC.from_pretrained("gciaffoni/modelLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b2409c4defcb8c884378f8ad8feeeb0396b8f5a7fff95bcba8fc4e83bb51ccd
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size 1262070897
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