Instructions to use tuanna08go/df500171-a4a6-4f66-81eb-04deb07f68b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/df500171-a4a6-4f66-81eb-04deb07f68b0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "tuanna08go/df500171-a4a6-4f66-81eb-04deb07f68b0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86a768818c28fe052617e27abc61628057a20aafaca07d5bd5d88031479ba2ed
- Size of remote file:
- 6.78 kB
- SHA256:
- 5e8b3ea98f3f01b33b9f553e7c041f78b5cc8d6dc35d5117cf25916f4a3b91a1
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