Transformers
Safetensors
Arabic
t5
text2text-generation
AraT5
Arabic
Distractor-Generation
text-generation-inference
Instructions to use Nouran30/distractor-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nouran30/distractor-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nouran30/distractor-model") model = AutoModelForSeq2SeqLM.from_pretrained("Nouran30/distractor-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Nouran30/distractor-model: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/Nouran30/distractor-model/resolve/main/generation_config.json
- Command line
-
hf download hf://Nouran30/distractor-model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Nouran30/distractor-model/resolve/main/generation_config.json
142 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.51.3" | |
| } | |