Instructions to use mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("oopsung/llama2-7b-koNqa-test-v1") model = PeftModel.from_pretrained(base_model, "mrhunghd/20155cb9-2db0-41eb-9727-5c5a21d69e1b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 155269ab402ba59fc027a46dc53b370bf96aeb50a3db4feae802f67cdde7900e
- Size of remote file:
- 80 MB
- SHA256:
- 0ff523763cc660d3199089f392374358b0850968a85ba1e47b8fe2a0e19fc5c4
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