Instructions to use batterydata/batterybert-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use batterydata/batterybert-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="batterydata/batterybert-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("batterydata/batterybert-cased") model = AutoModelForMaskedLM.from_pretrained("batterydata/batterybert-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb15_13-06-05_thetagpu20
- Feb16_03-09-33_thetagpu10
- Feb16_04-15-13_thetagpu10
- Feb16_11-45-35_thetagpu04
- Feb17_17-29-07_thetagpu20
- Feb18_13-06-02_thetagpu13
- Feb19_03-36-57_thetagpu19
- Feb19_21-48-52_thetagpu18
- Feb21_21-03-03_thetagpu14
- Feb23_00-32-18_thetagpu21
- Feb23_21-04-16_thetagpu02
- Feb25_04-24-17_thetagpu04
- Feb25_11-59-38_thetagpu17