Instructions to use psiyou/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psiyou/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="psiyou/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("psiyou/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("psiyou/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psiyou/output: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/psiyou/output/resolve/main/training_args.bin
- Command line
-
hf download hf://psiyou/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psiyou/output/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- b8a370fc9cd10ac90744665efcc9b51964610644cb96bfa2eb4bc65858323ebc
- Size of remote file:
- 5.05 kB
- SHA256:
- 5c4f46466c1570ec0eaa9ab11b0dcf32657c214d9b89787b30fbd188082a7c8e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.