Instructions to use rfvasile/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rfvasile/trainer_output with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rfvasile/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download eval_results.json from rfvasile/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 183 Bytes
-
https://huggingface.co/rfvasile/trainer_output/resolve/main/eval_results.json
- Command line
-
hf download hf://rfvasile/trainer_output/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/rfvasile/trainer_output/resolve/main/eval_results.json
183 Bytes
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.8699710965156555, | |
| "eval_runtime": 8.5093, | |
| "eval_samples": 60, | |
| "eval_samples_per_second": 7.051, | |
| "eval_steps_per_second": 7.051 | |
| } |