Instructions to use amantimalsina/dpo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amantimalsina/dpo_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "amantimalsina/dpo_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca9ff472985c605d8100d8a3effad9cc8661a047fa822625fce577251de5259c
- Size of remote file:
- 5.88 kB
- SHA256:
- f6d5e18e16532e0c03f7dafb60f4c1ddc3939b2519c06e811fdfd619fbb54cc1
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