Instructions to use nhungphammmmm/a802e8bf-f120-490a-860a-b04d8bec9773 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/a802e8bf-f120-490a-860a-b04d8bec9773 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/a802e8bf-f120-490a-860a-b04d8bec9773") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6776f5c812402016bc119e55523f7fda2fffbad02abd48f6e620169af5aa56e
- Size of remote file:
- 6.78 kB
- SHA256:
- 06e0597d0f13903ae6abd1945046ffea6b81deb11f21850db5fb2f990264a6b8
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