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
File size: 133 Bytes
c6a2cd5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b0dcab48b44ccabdfb69ea2a8329f4b5cecb899d49f3339abfe520012aa85f7f
size 15316548
|