Instructions to use taguser/openshift-builds-operator-epoch3-2025-Jun-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use taguser/openshift-builds-operator-epoch3-2025-Jun-10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-14B-Instruct") model = PeftModel.from_pretrained(base_model, "taguser/openshift-builds-operator-epoch3-2025-Jun-10") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from taguser/openshift-builds-operator-epoch3-2025-Jun-10: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/taguser/openshift-builds-operator-epoch3-2025-Jun-10/resolve/main/all_results.json
- Command line
-
hf download hf://taguser/openshift-builds-operator-epoch3-2025-Jun-10/all_results.json
-
curl -L -o all_results.json https://huggingface.co/taguser/openshift-builds-operator-epoch3-2025-Jun-10/resolve/main/all_results.json
222 Bytes
| { | |
| "epoch": 2.6956521739130435, | |
| "total_flos": 3.2641218873655296e+16, | |
| "train_loss": 0.6446877668301264, | |
| "train_runtime": 168.2098, | |
| "train_samples_per_second": 1.641, | |
| "train_steps_per_second": 0.036 | |
| } |