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") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- hierarchical_mha
- ir_checkpoints
- satori_medium_checkpoints
- satori_mid_checkpoints
- satori_prajna_checkpoints
- satori_small_checkpoints
- satori_v2
- 1.63 kB
- 938 Bytes
- 673 Bytes
- 354 Bytes
- 2.08 GB xet
- 543 MB xet
- 4.06 GB xet
- 1.01 GB xet
- 1.01 GB xet
- 1.02 GB xet
- 1.01 GB xet
- 1.41 GB xet
- 3.89 GB xet
- 2.42 MB
- 491 Bytes