Instructions to use hts98/lora2original-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/lora2original-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/lora2original-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/lora2original-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/lora2original-medium") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:822d603ccfcacb4845061251fb3bf6fb4f39c7c96209ebe714df98d0157c0c63
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size 1527827760
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