Fill-Mask
Transformers
PyTorch
English
luke
named entity recognition
entity typing
relation classification
question answering
Instructions to use studio-ousia/luke-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use studio-ousia/luke-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="studio-ousia/luke-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("studio-ousia/luke-base") model = AutoModelForMaskedLM.from_pretrained("studio-ousia/luke-base") - Inference
- Notebooks
- Google Colab
- Kaggle
CUDA error when trying to Pre-Train
6
#4 opened about 3 years ago
by
Saptarshi7
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot