Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use padmajabfrl/Religion-Classification-Custom-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use padmajabfrl/Religion-Classification-Custom-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="padmajabfrl/Religion-Classification-Custom-Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Religion-Classification-Custom-Model") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Religion-Classification-Custom-Model") - Notebooks
- Google Colab
- Kaggle
Training dataset
1
#9 opened 5 months ago
by
josejhlee
Librarian Bot: Add base_model information to model
#8 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#7 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot