Instructions to use manil5267/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manil5267/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manil5267/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("manil5267/dummy-model") model = AutoModelForMaskedLM.from_pretrained("manil5267/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload CamembertForMaskedLM efc6ba5
initial commit b714e2e
Manil Shrestha commited on