Instructions to use aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aleegis09/f5de8185-b42b-484a-bc56-fd9fdd5f76ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 220ddeb5d8ca34ec0b7e02afc9bfeeb5dd64100e412eed3d0125995092dbafff
- Size of remote file:
- 6.84 kB
- SHA256:
- bfe7ef6fafcc6e2a2de5e9cbb4140a1808b8311b21258bfb54fe7a99f15a953e
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