Instructions to use cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jingyeom/seal3.1.6n_7b") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/17d6a65a-bc7f-4f9f-b757-40553e9bd1ed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f25141171d825fd0ecfedcd271be734dbe17607edaf64aed7a6aad323dc0c22e
- Size of remote file:
- 80.1 MB
- SHA256:
- d041a6dae894b1228b6060d031d30b0b6b0612474cc08e4516b4e08b19b902e7
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