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
| { | |
| "toxic": 0.7799928784370422, | |
| "severe_toxic": 0.8539127111434937, | |
| "obscene": 0.9069831967353821, | |
| "threat": 0.38606879115104675, | |
| "insult": 0.8832359910011292, | |
| "identity_hate": 0.7942253947257996 | |
| } |