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:
- fe43c8667c329f55d5b6cb485888fc71424fba329010d755c6f834312269f5b2
- Size of remote file:
- 168 MB
- SHA256:
- c321fa74be5729770b186ead9e97681ad3762e23e6d1841079f30a1e4bdfe973
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