Instructions to use asas-ai/AraT5_base_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asas-ai/AraT5_base_8bit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("asas-ai/AraT5_base_8bit") model = AutoModelForSeq2SeqLM.from_pretrained("asas-ai/AraT5_base_8bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 206a2512c6b74b18d1cdf6558923559acdf59abaaec926b6de488c1f652a1313
- Size of remote file:
- 651 MB
- SHA256:
- 4ae4bb7d1da6990e3abbd6f7afad02bd05ea13110d9222b0e95abb43a8bd47a6
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