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:
- 33ac338bc3c5c20a4df75843072c4ef4873b39e7510be37488e65000857a6276
- Size of remote file:
- 7.2 MB
- SHA256:
- 65826b4851389e2506b7011a7161e80329e6355dfa03757ddea4e2b2ca1bc5b0
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