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:
- 14bb7a8501cd33a68da760dc7174103aaf6f4f2da73205c3c9b150a12bae6c63
- Size of remote file:
- 7.2 MB
- SHA256:
- 87e802fa5899ca4bdf96de0d7184a2972614b79cf298d0b83337e7a00cbd4d79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.