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:
- a567aac8ffe41da52375d70cf9636da470a507a1f17257f5a9ce8ddc9bd26f07
- Size of remote file:
- 7.2 MB
- SHA256:
- e0b7d45b519a51ea8d65cfb3244e71f505877e695aee8651b69b97e1de064248
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