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
File size: 414 Bytes
73af771 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"backend": "tokenizers",
"bos_token": "<|startoftranscript|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"is_local": false,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"processor_class": "CohereAsrProcessor",
"split_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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