Instructions to use snehatyagi/wav2vec2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snehatyagi/wav2vec2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="snehatyagi/wav2vec2_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("snehatyagi/wav2vec2_test") model = AutoModelForCTC.from_pretrained("snehatyagi/wav2vec2_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from snehatyagi/wav2vec2_test: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/snehatyagi/wav2vec2_test/resolve/main/training_args.bin
- Command line
-
hf download hf://snehatyagi/wav2vec2_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/snehatyagi/wav2vec2_test/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 7c2347391133d4fb59dddc757447451844ce6d0e4ac07e5177a90cba5eb71449
- Size of remote file:
- 2.99 kB
- SHA256:
- eb67b2ce509de8bd70de55ec3f92b1d8d6a8fc31934aed5c5b34d120d900d33b
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