Instructions to use Team-PIXEL/pixel-tiny-bigrams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-tiny-bigrams with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-tiny-bigrams", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from Team-PIXEL/pixel-tiny-bigrams: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/Team-PIXEL/pixel-tiny-bigrams/resolve/main/train_results.json
- Command line
-
hf download hf://Team-PIXEL/pixel-tiny-bigrams/train_results.json
-
curl -L -o train_results.json https://huggingface.co/Team-PIXEL/pixel-tiny-bigrams/resolve/main/train_results.json
173 Bytes
| { | |
| "epoch": 11.15, | |
| "train_loss": 0.45158287280273435, | |
| "train_runtime": 76711.7807, | |
| "train_samples_per_second": 3337.167, | |
| "train_steps_per_second": 3.259 | |
| } |