Instructions to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-68m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8afd79f4c48de886bae7ebee3b13158eba6915c8daa235fce9c5eeb86cbabf5
- Size of remote file:
- 6.78 kB
- SHA256:
- 988014945b0cc50ac511cc14f65dbe342f4a3a98ed4419953b97ae77567f3b30
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