Instructions to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5e4faf5d-208d-4dd8-ac2f-dce1d9618c0c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc62a45222dceb672b20c5c0cb811e85ca8a4dd2b81b6e970c6501c82d1da1d
- Size of remote file:
- 212 kB
- SHA256:
- 9ab51ba9f954ebdf59b6c93aed477b8c435131a47a6863a7d942a718fca8caa7
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