Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
fill-mask
Generated from Trainer
Instructions to use maximuspowers/bert-philosophy-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maximuspowers/bert-philosophy-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maximuspowers/bert-philosophy-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("maximuspowers/bert-philosophy-classifier") model = AutoModelForMaskedLM.from_pretrained("maximuspowers/bert-philosophy-classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun15_00-28-00_92b2e0e6fb20
- Jun15_00-28-23_92b2e0e6fb20
- Jun15_00-32-17_92b2e0e6fb20
- Jun15_00-36-15_92b2e0e6fb20
- Jun15_00-36-38_92b2e0e6fb20
- Jun15_00-38-20_92b2e0e6fb20
- Jun15_00-40-18_92b2e0e6fb20
- Jun15_00-47-20_92b2e0e6fb20
- Jun15_00-53-11_92b2e0e6fb20
- Jun15_00-58-48_92b2e0e6fb20
- Jun15_18-16-43_309caa596f42
- Jun15_22-46-52_bb491f89c3e4
- Jun15_23-08-10_bb491f89c3e4
- Jun16_16-31-08_3eb3419cb417
- Jun16_16-53-57_509eee86a659
- Jun16_17-49-10_509eee86a659
- Jun18_00-43-06_7248b5eeee0d
- Jun21_18-48-59_458a99d4b970
- Jun22_00-43-19_d35e772e7516
- Jun22_17-39-24_4829ceaae8d0
- Jun28_00-36-34_900796fa89ac
- Jun28_21-18-35_821879c92305
- Jun29_19-02-57_45ccd8ae5b94