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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from padmajabfrl/Religion-Classification-Custom-Model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/padmajabfrl/Religion-Classification-Custom-Model/resolve/75a863b97ade501ba94de93a16c578183f38e27e/pytorch_model.bin
- Command line
-
hf download hf://padmajabfrl/Religion-Classification-Custom-Model@75a863b97ade501ba94de93a16c578183f38e27e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/padmajabfrl/Religion-Classification-Custom-Model/resolve/75a863b97ade501ba94de93a16c578183f38e27e/pytorch_model.bin
268 MB
- Xet hash:
- 415d7c4d766bf9b61af54c2f20bbc7103ca8e8557a238daffea6186323efb4f9
- Size of remote file:
- 268 MB
- SHA256:
- 4cec8d4a8a034f3bff2a85e4542225ceb1a326724ec37f2cbf02b62822529473
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