Instructions to use Docty/solacies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Docty/solacies with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Docty/solacies") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Docty/solacies") model = AutoModelForImageClassification.from_pretrained("Docty/solacies", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from Docty/solacies: direct link, hf CLI and curl.
- Browser
- Download file 206 Bytes
-
https://huggingface.co/Docty/solacies/resolve/main/train_results.json
- Command line
-
hf download hf://Docty/solacies/train_results.json
-
curl -L -o train_results.json https://huggingface.co/Docty/solacies/resolve/main/train_results.json
206 Bytes
| { | |
| "epoch": 2.0, | |
| "total_flos": 1.8830891020935168e+17, | |
| "train_loss": 0.5599808394908905, | |
| "train_runtime": 139.819, | |
| "train_samples_per_second": 17.38, | |
| "train_steps_per_second": 2.174 | |
| } |