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 tokenizer_config.json from nsa01n/cohere-cs-decoder-full: direct link, hf CLI and curl.
- Browser
- Download file 414 Bytes
-
https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://nsa01n/cohere-cs-decoder-full/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/tokenizer_config.json
414 Bytes
| { | |
| "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>" | |
| } | |