Instructions to use dzanbek/19c416b4-148d-48ab-9712-2e39930df74a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/19c416b4-148d-48ab-9712-2e39930df74a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "dzanbek/19c416b4-148d-48ab-9712-2e39930df74a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c737d91cc270a487af7d055787f4a323a1bb7ca26334d674fe6480b4d95a3fb3
- Size of remote file:
- 6.78 kB
- SHA256:
- 4d5e50fae7b7aeb7206aa6f636f38842df59ee347af725dc29d8af67c0eb0e68
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