Instructions to use vimal52/ab_q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vimal52/ab_q 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_q") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcd5b68818562d1aaba1d61b3ce509fa3f0eeb942424d7c758ad29010291c088
- Size of remote file:
- 4.09 kB
- SHA256:
- aa478976fc1e27a9c540be0812a0c2c4435f2e821050da8269abad06e23e540e
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