Instructions to use shirasko/llama-3.1-8b-instruct-crisp-uranium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shirasko/llama-3.1-8b-instruct-crisp-uranium with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "shirasko/llama-3.1-8b-instruct-crisp-uranium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d82f630cd02ce8c601e26c28d46661f823e3844f2b9d848e6a4c87260dd5a5f
- Size of remote file:
- 17.2 MB
- SHA256:
- 65ff5472d095ccd9332d9e723153d7bc7226cb6be9c1bffda738b5ba2e71bf26
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