Instructions to use bencyc1129/art-bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bencyc1129/art-bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bencyc1129/art-bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bencyc1129/art-bert-base-cased") model = AutoModelForMaskedLM.from_pretrained("bencyc1129/art-bert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr12_05-07-22_a60cb62e95e2
- Apr12_05-07-51_a60cb62e95e2
- Apr12_05-29-01_a60cb62e95e2
- Apr15_03-53-36_939fcec28df8
- Apr15_03-55-04_939fcec28df8
- Apr15_04-08-25_939fcec28df8
- Apr15_04-09-16_939fcec28df8
- Apr15_04-09-33_939fcec28df8
- Apr15_04-11-33_939fcec28df8
- Apr15_04-12-01_939fcec28df8
- Apr15_04-16-43_939fcec28df8
- Apr15_04-54-17_939fcec28df8
- Apr15_04-54-28_939fcec28df8
- Apr15_05-07-11_939fcec28df8
- Apr15_05-07-23_939fcec28df8
- Apr15_05-07-38_939fcec28df8
- Apr15_05-08-14_939fcec28df8
- Apr15_05-09-04_939fcec28df8
- Apr15_05-10-12_939fcec28df8