Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
arabic
code-switching
decoder-only-finetune
Instructions to use nsa01n/cohere-cs-decoder-middle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsa01n/cohere-cs-decoder-middle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nsa01n/cohere-cs-decoder-middle")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nsa01n/cohere-cs-decoder-middle") model = AutoModelForSpeechSeq2Seq.from_pretrained("nsa01n/cohere-cs-decoder-middle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nsa01n/cohere-cs-decoder-middle: direct link, hf CLI and curl.
- Browser
- Download file 1.82 MB
-
https://huggingface.co/nsa01n/cohere-cs-decoder-middle/resolve/main/tokenizer.json
- Command line
-
hf download hf://nsa01n/cohere-cs-decoder-middle/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nsa01n/cohere-cs-decoder-middle/resolve/main/tokenizer.json
1.82 MB
File too large to display, you can check the raw version instead.