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 pytorch_model.bin from silfverstrom/niklas-test: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/silfverstrom/niklas-test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://silfverstrom/niklas-test/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/silfverstrom/niklas-test/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- adc51caa1e62fd25fefd5bb4ec86070d767449494288d58ed66b35b3b7bde6db
- Size of remote file:
- 967 MB
- SHA256:
- ddea46d9f38d6bba412b119c85293dfbaf0eb5df255aa16916a1df0af482d6ce
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