Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use hanifa-fy/wav2vec-large-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanifa-fy/wav2vec-large-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hanifa-fy/wav2vec-large-960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hanifa-fy/wav2vec-large-960h") model = AutoModelForCTC.from_pretrained("hanifa-fy/wav2vec-large-960h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hanifa-fy/wav2vec-large-960h: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/hanifa-fy/wav2vec-large-960h/resolve/main/training_args.bin
- Command line
-
hf download hf://hanifa-fy/wav2vec-large-960h/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hanifa-fy/wav2vec-large-960h/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- c48d0c74133e4e0f7c31e72add90a768ee04586a2644ef6137e118b1fd4fbff5
- Size of remote file:
- 5.43 kB
- SHA256:
- 66fdcdca59a2aad0585588ab818a94c11bbf78905ea19287c31f0fd2226488d2
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