Instructions to use Copticoder/vaguesmall-finetuned-arabic-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Copticoder/vaguesmall-finetuned-arabic-summarizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Copticoder/vaguesmall-finetuned-arabic-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Copticoder/vaguesmall-finetuned-arabic-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Copticoder/vaguesmall-finetuned-arabic-summarizer: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Copticoder/vaguesmall-finetuned-arabic-summarizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://Copticoder/vaguesmall-finetuned-arabic-summarizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Copticoder/vaguesmall-finetuned-arabic-summarizer/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 636956106d84c64f038dd2ab04391d1bdec1a73791a28f6de38754649d5937e9
- Size of remote file:
- 16.3 MB
- SHA256:
- 6adcc635a67d3fab478a5d1dc33ec9687e09dc48aecfc16ebecbf3f9ebf6eaa4
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