Instructions to use lukasweber/WG_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukasweber/WG_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lukasweber/WG_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lukasweber/WG_BERT") model = AutoModelForTokenClassification.from_pretrained("lukasweber/WG_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
2ba71c4
-
Update README.md
a585556
-
Update README.md
0081cc2 -
Update README.md
ce8e82b -
Update README.md
43cf377 -
Update README.md
eaaf8a1 -
Update README.md
791822c -
Create README.md
981c3cc -
Upload 7 files
d35c6d6 -
initial commit
9a1f8ed