Text Classification
Transformers
ONNX
English
bert
toxic
moderation
safety
content-moderation
quantized
text-embeddings-inference
Instructions to use hul0/shuddhi-base-onnx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hul0/shuddhi-base-onnx-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hul0/shuddhi-base-onnx-int8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hul0/shuddhi-base-onnx-int8") model = AutoModelForSequenceClassification.from_pretrained("hul0/shuddhi-base-onnx-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,068 Bytes
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Copyright (c) 2026 Rupam Ghosh
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