Instructions to use null010/base_test_0612_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use null010/base_test_0612_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="null010/base_test_0612_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("null010/base_test_0612_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("null010/base_test_0612_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from null010/base_test_0612_2: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/null010/base_test_0612_2/resolve/main/training_args.bin
- Command line
-
hf download hf://null010/base_test_0612_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/null010/base_test_0612_2/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 6e001fd326aa7cd1fc4fc8ca62333962d35313af0b6f35e6af2e7d0f2c37bf0b
- Size of remote file:
- 5.24 kB
- SHA256:
- f28147aff26d41dc30c1ad463d4fef81c0b6be7736b8db522519fe2f27efe943
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