Instructions to use aplycaebous/uicoder-grpo-7B-3ep-1500context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aplycaebous/uicoder-grpo-7B-3ep-1500context with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aplycaebous/plc_3B") model = PeftModel.from_pretrained(base_model, "aplycaebous/uicoder-grpo-7B-3ep-1500context") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff206f79d3c0e627de7956b4ef37c2b8eeab5e83490ff04516bc674e4c1d6e77
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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