Instructions to use AbdallahOubella/SumFin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AbdallahOubella/SumFin with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "AbdallahOubella/SumFin") - Transformers
How to use AbdallahOubella/SumFin with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbdallahOubella/SumFin", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26be172242e4638122ab90b435b2b31db52dd048dcd8cc33f0a56c5c27d966d8
- Size of remote file:
- 7.2 MB
- SHA256:
- 2c5eb10870ca6bc2ce228dfbe4e781f1e3c095586090abd83e12f3b21c365fd1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.