Instructions to use dilip025/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dilip025/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dilip025/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilip025/dummy-model") model = AutoModelForMaskedLM.from_pretrained("dilip025/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete satori_tiny_checkpoints
Browse files- satori_tiny_checkpoints/step_lightning_1050.pt +0 -3
- satori_tiny_checkpoints/step_lightning_1200.pt +0 -3
- satori_tiny_checkpoints/step_lightning_150.pt +0 -3
- satori_tiny_checkpoints/step_lightning_300.pt +0 -3
- satori_tiny_checkpoints/step_lightning_450.pt +0 -3
- satori_tiny_checkpoints/step_lightning_600.pt +0 -3
- satori_tiny_checkpoints/step_lightning_750.pt +0 -3
- satori_tiny_checkpoints/step_lightning_900.pt +0 -3
satori_tiny_checkpoints/step_lightning_1050.pt
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