Instructions to use fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-2-0325-32B-Instruct") model = PeftModel.from_pretrained(base_model, "fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise/resolve/main/training_args.bin
- Command line
-
hf download hf://fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fvossel/OLMo-2-0325-32B-Instruct-nl-to-fol_gt_predicates_noise/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- 9861642bb697f0a3b38187c5218056e0fb32100491b1e7d374ce9397a5946d04
- Size of remote file:
- 6.23 kB
- SHA256:
- 80471d9bd285ed05d3c3136497fbc4f0c6be7f5934ee506104dc3dab77aa0add
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