Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
arabic
code-switching
decoder-only-finetune
Instructions to use nsa01n/cohere-cs-decoder-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsa01n/cohere-cs-decoder-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nsa01n/cohere-cs-decoder-full")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nsa01n/cohere-cs-decoder-full") model = AutoModelForSpeechSeq2Seq.from_pretrained("nsa01n/cohere-cs-decoder-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nsa01n/cohere-cs-decoder-full: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/training_args.bin
- Command line
-
hf download hf://nsa01n/cohere-cs-decoder-full/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- 3b1091f824b1792fabf0ebb04dd24e2023a739438ed3e5d4866afa11b5baf6a9
- Size of remote file:
- 5.39 kB
- SHA256:
- 5a929bfae0de227585524b266ca694feddebaa7cd08d324f5b832ed0601a12e1
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