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 tokenizer.json from Abdallah151/DabljaAR: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Abdallah151/DabljaAR/resolve/main/tokenizer.json
- Command line
-
hf download hf://Abdallah151/DabljaAR/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Abdallah151/DabljaAR/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 3726371f6e6fd5215fbea85e014f5a7464a954ae1cc9d40854223753c4f62499
- Size of remote file:
- 11.4 MB
- SHA256:
- bd2a97b55c8f7f9c328c73ee9b9178771037e9f566dfca8e238a063d41cbac92
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