Instructions to use cunghoctienganh/0f79ad40-2bd3-415d-aa0d-26d814bddc62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/0f79ad40-2bd3-415d-aa0d-26d814bddc62 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/0f79ad40-2bd3-415d-aa0d-26d814bddc62") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a20e0bf34ada41d48e79b18e2cf4df3754d66af3ca98d60aa8da301f0e0901f
- Size of remote file:
- 51 MB
- SHA256:
- 24f916b1743982a20b46b723905abfc8a8f822a8fd5e553a0d2db9f7893f7b3c
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