Instructions to use thakkkkkk/84e72ffe-bcee-4874-bf47-8236964d13cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/84e72ffe-bcee-4874-bf47-8236964d13cc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "thakkkkkk/84e72ffe-bcee-4874-bf47-8236964d13cc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95a604adb8eeaa98021873e76c787e6c1d652188542ce1d44736eeb860d22978
- Size of remote file:
- 84 MB
- SHA256:
- dac204e95924c07f84fc0c0a3f7db1d4c710233ff46e5c326fde044c5accad30
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