Instructions to use nhungphammmmm/0534433b-4a81-428b-94c6-ca8fd898a2c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/0534433b-4a81-428b-94c6-ca8fd898a2c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/0534433b-4a81-428b-94c6-ca8fd898a2c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f549470eeea51d765de6c24dce70f749e99e79327a20b050544a4a3d6b73ea8
- Size of remote file:
- 6.78 kB
- SHA256:
- 5de273a10f9c30aa9c97894214b7b73c9a0c27b7b842f6a6fba9fe7e4055fa38
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