Instructions to use null010/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use null010/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="null010/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("null010/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("null010/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from null010/test: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/null010/test/resolve/main/training_args.bin
- Command line
-
hf download hf://null010/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/null010/test/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- bfd2fe31a878f193ca93fe456bb01ad6627d5be8073e6d00b5edb8698871628c
- Size of remote file:
- 4.09 kB
- SHA256:
- 276cc84c23d79875ad4daf84a1b17dd43ab90567fc77451819b9fb18ac651c13
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