Instructions to use ranjan56cse/t5-base-xsum-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ranjan56cse/t5-base-xsum-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base") model = PeftModel.from_pretrained(base_model, "ranjan56cse/t5-base-xsum-lora") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint-1000
- checkpoint-10000
- checkpoint-11000
- checkpoint-12000
- checkpoint-13000
- checkpoint-14000
- checkpoint-15000
- checkpoint-16000
- checkpoint-17000
- checkpoint-18000
- checkpoint-19000
- checkpoint-2000
- checkpoint-3000
- checkpoint-4000
- checkpoint-5000
- checkpoint-6000
- checkpoint-7000
- checkpoint-8000
- checkpoint-9000
- checkpoint-latest
- logs
- 1.52 kB
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- 7.1 MB xet
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- 792 kB xet
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