Instructions to use bilbo991/clip-mixer-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilbo991/clip-mixer-300k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bilbo991/clip-mixer-300k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bilbo991/clip-mixer-300k") model = AutoModel.from_pretrained("bilbo991/clip-mixer-300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 310 Bytes
5fdcb7d | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 3.0,
"eval_loss": 2.4178671836853027,
"eval_runtime": 358.3026,
"eval_samples_per_second": 83.728,
"eval_steps_per_second": 2.618,
"train_loss": 0.9465052639431424,
"train_runtime": 18848.6969,
"train_samples_per_second": 47.749,
"train_steps_per_second": 1.492
} |