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 generation_config.json from nsa01n/cohere-cs-decoder-full: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/generation_config.json
- Command line
-
hf download hf://nsa01n/cohere-cs-decoder-full/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/nsa01n/cohere-cs-decoder-full/resolve/main/generation_config.json
230 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 4, | |
| "decoder_start_token_id": 13764, | |
| "eos_token_id": 3, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 2, | |
| "transformers_version": "5.17.0" | |
| } | |