Instructions to use MathRaaj/wav2vec-bert-ser-standard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MathRaaj/wav2vec-bert-ser-standard with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import W2VBertSER model = W2VBertSER.from_pretrained("MathRaaj/wav2vec-bert-ser-standard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MathRaaj/wav2vec-bert-ser-standard: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/MathRaaj/wav2vec-bert-ser-standard/resolve/main/training_args.bin
- Command line
-
hf download hf://MathRaaj/wav2vec-bert-ser-standard/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MathRaaj/wav2vec-bert-ser-standard/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 7c8da3309fa49c2c43d668f7e810c50e3c652c57d209d340819c7fc271db6f0e
- Size of remote file:
- 5.2 kB
- SHA256:
- 647bed525a9c541933fb2f4baac85e7cb3a0362d7625cfd2d663b6770abddffa
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