Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use padmajabfrl/Religion-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use padmajabfrl/Religion-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="padmajabfrl/Religion-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Religion-Classification") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Religion-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8b73b76a43ed7f600d4c001f07515f1ac34ae2cab3b06fa5f64d0aed5be22a7
- Size of remote file:
- 2.93 kB
- SHA256:
- f1da4b6b77ce37d92eb619ff57c79b821873c7c58c222b8bd9920a8218183613
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