Instructions to use AmaadMartin/k_1_context_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmaadMartin/k_1_context_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-VL-Chat") model = PeftModel.from_pretrained(base_model, "AmaadMartin/k_1_context_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd57a4ff89e5199a1b18dcd6e62490d430786412fedec5ed3e1d73fff945a166
- Size of remote file:
- 2.71 GB
- SHA256:
- d188bb52f4c59ad03eaa7ddcb4f0e24d6cafafa180597d2921c15152dcfb407a
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