Instructions to use nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a4e24ca5b9629780787e67e12b2f3791f25fee305ba3abbf8d00a1fa664105e
- Size of remote file:
- 84 MB
- SHA256:
- a9ba6860ef905be99a458003ce9556156aabb73f0405f6f26d0ec5f9e577b6ea
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