Instructions to use jeniya/BERTOverflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeniya/BERTOverflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jeniya/BERTOverflow")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jeniya/BERTOverflow") model = AutoModel.from_pretrained("jeniya/BERTOverflow") - Notebooks
- Google Colab
- Kaggle
Pretrained and fine-tuned SoftNER model
#1
by loubnabnl - opened
Hi, I wanted to make sure this is the pre-trained checkpoint mentioned in this repository and how does it differ from this checkpoint.
Do you also happen to have the fine-tuned checkpoints of the SoftNER model in the paper?