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:
- 823adbf062ebf9894071275f58bcc564cf3f6b6e4f84979e0a34cddf186670e9
- Size of remote file:
- 15.4 kB
- SHA256:
- b04da6bdb0df465030bec6f75e61b1d2b6c8a0cf77aefaa9d228e98d67b4fdd2
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