Instructions to use Ctc8/hfmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ctc8/hfmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Ctc8/hfmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af742819e8b0850a9f937e520c8d58d42992e9c56f22139070f6a25ea1fcb877
- Size of remote file:
- 5.94 kB
- SHA256:
- b09067bfbc45ebcd258db783da2cc74e7015965851e0e6cfbe7297a9d5204d0a
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