Instructions to use nh0znoisung/hubert-large-timit-upsample-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nh0znoisung/hubert-large-timit-upsample-decoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, HubertForCTCWithLearnableUpsample processor = AutoProcessor.from_pretrained("nh0znoisung/hubert-large-timit-upsample-decoder") model = HubertForCTCWithLearnableUpsample.from_pretrained("nh0znoisung/hubert-large-timit-upsample-decoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nh0znoisung/hubert-large-timit-upsample-decoder: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/nh0znoisung/hubert-large-timit-upsample-decoder/resolve/main/training_args.bin
- Command line
-
hf download hf://nh0znoisung/hubert-large-timit-upsample-decoder/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nh0znoisung/hubert-large-timit-upsample-decoder/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- ac0b1ae9ad94d5524671adb810dc42506d51d6453708e99616d8dd5e43635a62
- Size of remote file:
- 5.37 kB
- SHA256:
- 2e755a7ea79b3036a70a800dc6f833ca5e0c6ae9d07767ce0485e04c26f9f720
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