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
Upload folder using huggingface_hub
Browse files
runs/May27_07-55-36_r-verifiedprompts-context-detector-71s4c8h7-06974-pp7jf/events.out.tfevents.1748332538.r-verifiedprompts-context-detector-71s4c8h7-06974-pp7jf.69.0
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