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:
- 39763eba922de4de50fe0b692e6831f905e224134c1665792e70f65e11d5bbdb
- Size of remote file:
- 15.4 kB
- SHA256:
- 824dd22ba5ad4b890b86579e17cc82a1c245cd02104a243360e5fd480cba4655
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