Text Generation
PEFT
Safetensors
English
proofkit
lora
adapter
teacher
distillation
build-small-hackathon
conversational
Instructions to use build-small-hackathon/proofkit-gpt-oss-20b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use build-small-hackathon/proofkit-gpt-oss-20b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-20b") model = PeftModel.from_pretrained(base_model, "build-small-hackathon/proofkit-gpt-oss-20b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59f22360b51bf1a137fb80e14df310b4b249bed6cc64565aa0c401ca19ffcd04
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.