Instructions to use silfverstrom/niklas-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silfverstrom/niklas-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="silfverstrom/niklas-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("silfverstrom/niklas-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("silfverstrom/niklas-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from silfverstrom/niklas-test: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/silfverstrom/niklas-test/resolve/main/training_args.bin
- Command line
-
hf download hf://silfverstrom/niklas-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/silfverstrom/niklas-test/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- c1e0efd40174e87c8ccc18fde1e86d0661111379350ae1ad5da030218e13bf6d
- Size of remote file:
- 3.63 kB
- SHA256:
- da51188c7851bce185548fdf07cf402d961061fd15a40419c0673dd44fdcbd2b
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