Instructions to use DazMashaly/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DazMashaly/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DazMashaly/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DazMashaly/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("DazMashaly/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DazMashaly/output: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/DazMashaly/output/resolve/800bceb8087f0956a00c4e43013e4012b122bcdf/training_args.bin
- Command line
-
hf download hf://DazMashaly/output@800bceb8087f0956a00c4e43013e4012b122bcdf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DazMashaly/output/resolve/800bceb8087f0956a00c4e43013e4012b122bcdf/training_args.bin
5.24 kB
- Xet hash:
- 37061aa60986fffb5718433f9c33ebafa4e3840fd77ed481745688b79180eff8
- Size of remote file:
- 5.24 kB
- SHA256:
- 8fa7f691a567b4ea348d2dc6eb26894cd0d714725528debff49c1095e1192824
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