Instructions to use devkya/peft-large-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkya/peft-large-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkya/peft-large-model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkya/peft-large-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkya/peft-large-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eccad34532cbbf86506c3895a171a699a97c2ab79114ff19936990d0b069c639
- Size of remote file:
- 3.09 GB
- SHA256:
- 3fb10dc80ce3c55528218ed1971dd46ca0238eb03662c1d5cff2c89fe57281f9
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