Instructions to use ngonidzashe/jd_predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ngonidzashe/jd_predictor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "ngonidzashe/jd_predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc738b93e21124338b60ffad83d87e5fdb3c531b86857fd55e41e42c4576bf20
- Size of remote file:
- 19.7 MB
- SHA256:
- 40189883a415d94a495df9bffd1f0814a5ca671498a03d643f3f9e889dbeb22c
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