Instructions to use jvonrad/OLMo-2-7B-CPT-SFT-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jvonrad/OLMo-2-7B-CPT-SFT-10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jvonrad/olmo-2-7b-finetranslations") model = PeftModel.from_pretrained(base_model, "jvonrad/OLMo-2-7B-CPT-SFT-10k") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jvonrad/OLMo-2-7B-CPT-SFT-10k: direct link, hf CLI and curl.
- Browser
- Download file 7.14 MB
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https://huggingface.co/jvonrad/OLMo-2-7B-CPT-SFT-10k/resolve/main/tokenizer.json
- Command line
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hf download hf://jvonrad/OLMo-2-7B-CPT-SFT-10k/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/jvonrad/OLMo-2-7B-CPT-SFT-10k/resolve/main/tokenizer.json
7.14 MB
File too large to display, you can check the raw version instead.