Instructions to use mrHunghddddd/68707f11-cf56-415d-93e4-17d38dc8bcd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/68707f11-cf56-415d-93e4-17d38dc8bcd2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "mrHunghddddd/68707f11-cf56-415d-93e4-17d38dc8bcd2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78233142902e6ccc8cae7a7a5e404ca3db5c4306f2c3f7b3bdd614e64a49ea90
- Size of remote file:
- 36.3 MB
- SHA256:
- f46838c79b58c82e9fd2550b746ed87e3f63eb9b80f549b3a3bcb6c7fbc2f741
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