Instructions to use medardif/bloomz_concept_note_grader_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use medardif/bloomz_concept_note_grader_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-7b1") model = PeftModel.from_pretrained(base_model, "medardif/bloomz_concept_note_grader_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdc8a59a5850381d872c8ef710918ab43720725ae1daf29031eccdb1ec54804
- Size of remote file:
- 62.9 MB
- SHA256:
- 5140b6afd773bd2655be8b7550de6e8faadd929cd907bc52fd6a557b5e716e74
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