Text Classification
Transformers
Safetensors
English
bert
customer-complaints
multiclass
huggingface
fine-tuned
wandb
Instructions to use hblim/bert-customer-complaints-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hblim/bert-customer-complaints-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hblim/bert-customer-complaints-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hblim/bert-customer-complaints-classifier") model = AutoModelForSequenceClassification.from_pretrained("hblim/bert-customer-complaints-classifier") - Notebooks
- Google Colab
- Kaggle