Instructions to use Abdallah151/DabljaAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdallah151/DabljaAR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Abdallah151/DabljaAR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Abdallah151/DabljaAR") model = AutoModelForMultimodalLM.from_pretrained("Abdallah151/DabljaAR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Abdallah151/DabljaAR: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/Abdallah151/DabljaAR/resolve/main/generation_config.json
- Command line
-
hf download hf://Abdallah151/DabljaAR/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Abdallah151/DabljaAR/resolve/main/generation_config.json
166 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": null, | |
| "transformers_version": "4.57.6" | |
| } | |