Instructions to use dandelin/vilt-b32-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dandelin/vilt-b32-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dandelin/vilt-b32-mlm")# Load model directly from transformers import AutoProcessor, AutoModelForMaskedLM processor = AutoProcessor.from_pretrained("dandelin/vilt-b32-mlm") model = AutoModelForMaskedLM.from_pretrained("dandelin/vilt-b32-mlm") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Update README.md
#2 opened almost 4 years ago
by
Wa2erGo