Instructions to use batterydata/batterybert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use batterydata/batterybert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="batterydata/batterybert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("batterydata/batterybert-uncased") model = AutoModelForMaskedLM.from_pretrained("batterydata/batterybert-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb15_13-06-05_thetagpu16
- Feb16_03-38-57_thetagpu10
- Feb16_11-21-45_thetagpu01
- Feb17_17-29-07_thetagpu22
- Feb18_13-06-02_thetagpu19
- Feb19_03-36-57_thetagpu09
- Feb19_21-48-52_thetagpu16
- Feb21_21-03-03_thetagpu22
- Feb23_00-42-24_thetagpu10
- Feb23_21-04-16_thetagpu03
- Feb25_04-37-03_thetagpu06
- Feb25_12-30-51_thetagpu14