Instructions to use vimal52/ab_q1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vimal52/ab_q1 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, "vimal52/ab_q1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1500a2c45532214e89233ce721e7e7cfd2b485ae7f889803a53c6564367a86ce
- Size of remote file:
- 992 MB
- SHA256:
- f0ec8c0cf5239c121a668a6dbf4cafa68d2ecab03e44875e45125b0a94d6d33b
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