Text Classification
Transformers
Safetensors
English
bert
wastewater
water-treatment
relation-extraction
text-embeddings-inference
Instructions to use Mudi12137/WaterBERT-RE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mudi12137/WaterBERT-RE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mudi12137/WaterBERT-RE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mudi12137/WaterBERT-RE") model = AutoModelForSequenceClassification.from_pretrained("Mudi12137/WaterBERT-RE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
RE/NER datasets
#1 opened 7 days ago
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