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
Delete scheduler.pt with huggingface_hub
Browse files- scheduler.pt +0 -3
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:192c8143c5fbfe6a5fc99899e62677ecaf7454864c5d129659ee90736cd13987
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size 1465
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