Instructions to use NovoCode/Tiger-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NovoCode/Tiger-DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NeuralNovel/Tiger-7B-v0.1") model = PeftModel.from_pretrained(base_model, "NovoCode/Tiger-DPO") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from NovoCode/Tiger-DPO: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/NovoCode/Tiger-DPO/resolve/main/all_results.json
- Command line
-
hf download hf://NovoCode/Tiger-DPO/all_results.json
-
curl -L -o all_results.json https://huggingface.co/NovoCode/Tiger-DPO/resolve/main/all_results.json
166 Bytes
| { | |
| "epoch": 0.99, | |
| "train_loss": 1.7228616259314797, | |
| "train_runtime": 47.9316, | |
| "train_samples_per_second": 22.157, | |
| "train_steps_per_second": 1.377 | |
| } |