Instructions to use dipikakhullar/olmo-code-python3-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dipikakhullar/olmo-code-python3-text-only with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-1B-hf") model = PeftModel.from_pretrained(base_model, "dipikakhullar/olmo-code-python3-text-only") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8134ea17b03ef914b50ee5e5c4effa60922093bf286b8730e54d4001a02faddc
- Size of remote file:
- 24.3 MB
- SHA256:
- 66624d98e4bf12d319820981251172cb6da6518d73fd86dd68afe6674021cf41
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