Text Classification
Transformers.js
ONNX
Transformers
English
bert
fill-mask
BERT
NeuroBERT
transformer
nlp
neurobert-pro
edge-ai
low-resource
micro-nlp
quantized
iot
wearable-ai
offline-assistant
intent-detection
real-time
smart-home
embedded-systems
command-classification
toy-robotics
voice-ai
eco-ai
english
flagship
mobile-nlp
ner
text-embeddings-inference
Instructions to use onnx-community/NeuroBERT-Pro-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/NeuroBERT-Pro-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'onnx-community/NeuroBERT-Pro-ONNX'); - Transformers
How to use onnx-community/NeuroBERT-Pro-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="onnx-community/NeuroBERT-Pro-ONNX")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("onnx-community/NeuroBERT-Pro-ONNX") model = AutoModelForMaskedLM.from_pretrained("onnx-community/NeuroBERT-Pro-ONNX") - Notebooks
- Google Colab
- Kaggle
Ctrl+K