Instructions to use kndtran/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kndtran/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kndtran/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kndtran/dummy-model") model = AutoModelForMaskedLM.from_pretrained("kndtran/dummy-model") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload tokenizer ff5a630
Khoi-Nguyen Tran commited on
Upload CamembertForMaskedLM 133d1f9
Khoi-Nguyen Tran commited on