Instructions to use tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f 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, "tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab2c6625b4c39b5b7150d697bfbedfce02dc8fddf3fb721fef44bde40ee86ac6
- Size of remote file:
- 336 MB
- SHA256:
- d3e995e9e16f5dee6ed2e6d2d70040fdf8a6781273fe7ea73aa1cbbfd884bd50
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