Instructions to use geektech/t5v1_1-xl-lora-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use geektech/t5v1_1-xl-lora-ce with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-xl") model = PeftModel.from_pretrained(base_model, "geektech/t5v1_1-xl-lora-ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ce0e637e97a50821c5b649f583a78afd6661bcd18bdb15d2961c654783aaf7f
- Size of remote file:
- 4.41 kB
- SHA256:
- 43c7b8630cfdb34de1a20cc39a5003b1c43361363cad0970e751ca0a1e716c61
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