Instructions to use dwivedi-rishabh/checkpoint_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dwivedi-rishabh/checkpoint_dir with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "dwivedi-rishabh/checkpoint_dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cde400c903630b66525e7538c76abcaa16712af5596b7f9359c9b28e1498991c
- Size of remote file:
- 101 MB
- SHA256:
- 060b0bcb07a7a61833c3c0d4d6fa80e3b4b8f0ce65d446af7d89ebdb9243056b
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