Instructions to use eisenjulian/viz-wiz-bert-base-uncased_f32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eisenjulian/viz-wiz-bert-base-uncased_f32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eisenjulian/viz-wiz-bert-base-uncased_f32")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eisenjulian/viz-wiz-bert-base-uncased_f32") model = AutoModelForMaskedLM.from_pretrained("eisenjulian/viz-wiz-bert-base-uncased_f32") - Notebooks
- Google Colab
- Kaggle