Instructions to use ashabrawy/NADI-Region-DID-MARBERTv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashabrawy/NADI-Region-DID-MARBERTv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ashabrawy/NADI-Region-DID-MARBERTv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ashabrawy/NADI-Region-DID-MARBERTv2") model = AutoModelForSequenceClassification.from_pretrained("ashabrawy/NADI-Region-DID-MARBERTv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ashabrawy/NADI-Region-DID-MARBERTv2: direct link, hf CLI and curl.
- Browser
- Download file 2.69 MB
-
https://huggingface.co/ashabrawy/NADI-Region-DID-MARBERTv2/resolve/main/tokenizer.json
- Command line
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hf download hf://ashabrawy/NADI-Region-DID-MARBERTv2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ashabrawy/NADI-Region-DID-MARBERTv2/resolve/main/tokenizer.json
2.69 MB
File too large to display, you can check the raw version instead.