Token Classification
Transformers
Safetensors
English
bert
ner
named-entity-recognition
text-classification
transformer
pretrained-model
huggingface
real-time-inference
efficient-nlp
micro-nlp
chatbot
information-extraction
document-understanding
search-enhancement
medical-nlp
financial-nlp
legal-nlp
general-purpose-nlp
on-device-nlp
Instructions to use boltuix/EntityBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/EntityBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boltuix/EntityBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boltuix/EntityBERT") model = AutoModelForTokenClassification.from_pretrained("boltuix/EntityBERT") - Notebooks
- Google Colab
- Kaggle
Ctrl+K