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:
- 558a91631f1ffb06145a704008d096d011b627a9753dca2be7eb338da9a9aec3
- Size of remote file:
- 268 MB
- SHA256:
- e6cdd9c518a84c5978bbcabd1ab1471f2bf99b2037cca35e40e439f5035bb528
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