Instructions to use sp-embraceable/e2-phi4-instruct-extended-orpo-checkpointsadapter-600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sp-embraceable/e2-phi4-instruct-extended-orpo-checkpointsadapter-600 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("embraceableAI/e2-phi4-instruct-extended-3500steps-Merged") model = PeftModel.from_pretrained(base_model, "sp-embraceable/e2-phi4-instruct-extended-orpo-checkpointsadapter-600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61777b1e99a3b8d2f81a40398f227af23689d78951002848db909b357aee6c3a
- Size of remote file:
- 263 MB
- SHA256:
- 7ac5a3c09898de9d9b9b9a2e8d6cbb0dc89743208db2da92ec4a167358fb2320
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