Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
arabic
code-switching
decoder-only-finetune
Instructions to use nsa01n/cohere-cs-decoder-top with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsa01n/cohere-cs-decoder-top with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nsa01n/cohere-cs-decoder-top")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nsa01n/cohere-cs-decoder-top") model = AutoModelForSpeechSeq2Seq.from_pretrained("nsa01n/cohere-cs-decoder-top", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nsa01n/cohere-cs-decoder-top: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/nsa01n/cohere-cs-decoder-top/resolve/main/training_args.bin
- Command line
-
hf download hf://nsa01n/cohere-cs-decoder-top/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nsa01n/cohere-cs-decoder-top/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- 9cff50eeed13fb422c2e9444a9f5356e616e2ad0eb372e438899fcb25a53b9c9
- Size of remote file:
- 5.39 kB
- SHA256:
- 7d7ed3f5698eabd387eabb632b0d34db66b30f70cbe573de74553e5f74de0d7b
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