Instructions to use kurianbenoy/mal_final_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kurianbenoy/mal_final_run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kurianbenoy/mal_final_run")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kurianbenoy/mal_final_run") model = AutoModelForSpeechSeq2Seq.from_pretrained("kurianbenoy/mal_final_run", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 131b5a0a246cffea6f9aa2cb6129fbb8100a04cec8cafffa2bbfdfd3473c5668
- Size of remote file:
- 4.86 kB
- SHA256:
- 64bc3b15da9588193df42f740464b540d71de377ef6c0b2473c3301f3c2d9472
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