Instructions to use 0x1202/d9b78275-4d06-43c4-b677-8295156154f0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/d9b78275-4d06-43c4-b677-8295156154f0 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, "0x1202/d9b78275-4d06-43c4-b677-8295156154f0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd233ad58d07d2aab0378d6accb6c0e08bc8007bcdadb3efa551d5bc347c2b4a
- Size of remote file:
- 6.84 kB
- SHA256:
- 33979b4fd1714f1eece5b8e2595613151650b022eab4694d65e7d9b71789e123
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