Instructions to use egillf/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egillf/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="egillf/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("egillf/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("egillf/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from egillf/output: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/egillf/output/resolve/main/training_args.bin
- Command line
-
hf download hf://egillf/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/egillf/output/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- d8ea56925ee1bfd78c17817ecffe643c10342d8ec8da21847cd9ba85ac1e1319
- Size of remote file:
- 4.92 kB
- SHA256:
- 8b72990e9db446d67a6da6c43044adb3986d455e8a6995f9881d866c52afd7b6
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