Instructions to use nhungphammmmm/fa24f689-a653-47f9-bd05-9ffc2b3146ff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/fa24f689-a653-47f9-bd05-9ffc2b3146ff with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("migtissera/Tess-v2.5-Phi-3-medium-128k-14B") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/fa24f689-a653-47f9-bd05-9ffc2b3146ff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b760bfc8074c6c25a934c99dcdb7f2e3e1a7f4a1e4a0f81430e2cd680d385f7
- Size of remote file:
- 6.78 kB
- SHA256:
- 0da4d1e3ce8ca1cbc6250c79e39d5f298469b910025ec2b2d200d63165c3debd
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