Instructions to use hf-internal-testing/tiny-random-Data2VecAudioForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecAudioForCTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-Data2VecAudioForCTC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForCTC") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForCTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-Data2VecAudioForCTC: direct link, hf CLI and curl.
- Browser
- Download file 272 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Data2VecAudioForCTC/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Data2VecAudioForCTC@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Data2VecAudioForCTC/resolve/refs%2Fpr%2F1/model.safetensors
272 kB
- Xet hash:
- c56974d6ffb66f5f5a67ebded59b9c7eaef0c561bd5ced62a232c68eec018cdb
- Size of remote file:
- 272 kB
- SHA256:
- c30f7208911b6ba6deecc146131c16688a55b2c9a2aa7163898ed9c84182821a
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