Instructions to use sergioalves/04d5d270-1adc-4e21-928f-4c48d33d3ebe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/04d5d270-1adc-4e21-928f-4c48d33d3ebe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "sergioalves/04d5d270-1adc-4e21-928f-4c48d33d3ebe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebd537db21753199858d80abc4376e4492b81d7afe2e879e042c12539767a9b5
- Size of remote file:
- 168 MB
- SHA256:
- e63612ef18538dd9f81f8ead713cfec4be665be8f21bc1ddb7774f779d259107
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