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")
https://huggingface.co/padmajabfrl/Religion-Classification-Custom-Model/resolve/75a863b97ade501ba94de93a16c578183f38e27e/tokenizer.json
hf download hf://padmajabfrl/Religion-Classification-Custom-Model@75a863b97ade501ba94de93a16c578183f38e27e/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/padmajabfrl/Religion-Classification-Custom-Model/resolve/75a863b97ade501ba94de93a16c578183f38e27e/tokenizer.json
