Instructions to use AbdallahOubella/SumFin1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbdallahOubella/SumFin1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AbdallahOubella/SumFin1") model = AutoModelForSeq2SeqLM.from_pretrained("AbdallahOubella/SumFin1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 313fbf52f5bff5ccc33d821a7c3d25741b4fe0a7e54d58b506833c33f2ef74b6
- Size of remote file:
- 484 MB
- SHA256:
- dbd19b8a0556fb3a64dbad3233155bc43debe0a98c2c096f4224cbbf6651380e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.