Text Classification
Transformers
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use Bharatmalik1999/distilbert-base-uncased-customer-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bharatmalik1999/distilbert-base-uncased-customer-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bharatmalik1999/distilbert-base-uncased-customer-data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bharatmalik1999/distilbert-base-uncased-customer-data") model = AutoModelForSequenceClassification.from_pretrained("Bharatmalik1999/distilbert-base-uncased-customer-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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