Instructions to use alireza7/ARMAN-SS-80-persian-base-parsinlu-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alireza7/ARMAN-SS-80-persian-base-parsinlu-qqp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alireza7/ARMAN-SS-80-persian-base-parsinlu-qqp") model = AutoModelForSeq2SeqLM.from_pretrained("alireza7/ARMAN-SS-80-persian-base-parsinlu-qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 334cbb03f60f92c74db1f7197c3ac70fd5baa5e3a709f40f55a82832bd74cf82
- Size of remote file:
- 1.09 GB
- SHA256:
- 989d0b69a9b991ee3a6f4ad88f3f447cecb4450caebb1b58ee3dc564bdd0a53f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.