Instructions to use cunghoctienganh/960c6ad9-2095-4f07-bef5-8bba6be236c4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/960c6ad9-2095-4f07-bef5-8bba6be236c4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/960c6ad9-2095-4f07-bef5-8bba6be236c4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18b7e16adfa9bcdb728116f9dd1789cef9709cf96a321150884ecfd37fc0cc23
- Size of remote file:
- 84 MB
- SHA256:
- 73bacb8b3cb41016511022d8af8f7c9ff0a25a38d0da04b983d86c12be0d17fe
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