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:
- 1b788effaa7f94a8cf0757fb07678b0ff8c97f1884a2edfba0a55a83ea81de4b
- Size of remote file:
- 7.2 MB
- SHA256:
- 6a504449e8e019b6b9fcdd59258191661ef6848065bee5e9e46e2afa8f7d71af
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