Instructions to use emon1521/wav2vec2-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emon1521/wav2vec2-try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emon1521/wav2vec2-try")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emon1521/wav2vec2-try") model = AutoModelForCTC.from_pretrained("emon1521/wav2vec2-try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from emon1521/wav2vec2-try: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/emon1521/wav2vec2-try/resolve/main/training_args.bin
- Command line
-
hf download hf://emon1521/wav2vec2-try/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/emon1521/wav2vec2-try/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- f20d45984d07c2555ed8218eb31da927f6ec8b0360479df7ed18295936c23185
- Size of remote file:
- 2.8 kB
- SHA256:
- af6e9cdfed455ebdd972b492e713c4b4af68953d10ae94fbc9523ac52bc7518d
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