Instructions to use huydt/large_config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huydt/large_config with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huydt/large_config")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("huydt/large_config") model = AutoModelForSpeechSeq2Seq.from_pretrained("huydt/large_config", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Feb20_22-38-19_ai-server/events.out.tfevents.1676961534.ai-server.2440923.0
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