Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
prompt-filtering
moderation
text-embeddings-inference
Instructions to use VerifiedPrompts/CNTXT-Filter-Prompt-Opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VerifiedPrompts/CNTXT-Filter-Prompt-Opt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VerifiedPrompts/CNTXT-Filter-Prompt-Opt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VerifiedPrompts/CNTXT-Filter-Prompt-Opt") model = AutoModelForSequenceClassification.from_pretrained("VerifiedPrompts/CNTXT-Filter-Prompt-Opt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4df200c0d345f41bbbd94b967768ab64780bda6aa684b3d534067d70e697f14
- Size of remote file:
- 5.37 kB
- SHA256:
- cbd2abe463b6fb49523cf5f62c2c06d6c102108d469f3e3f49abe3ffc7808caf
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