Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use andriadze/ai-chat-censor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andriadze/ai-chat-censor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andriadze/ai-chat-censor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andriadze/ai-chat-censor") model = AutoModelForSequenceClassification.from_pretrained("andriadze/ai-chat-censor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830a17ba849110c8708c7e87dd7b76055c09233ecf1e5275117bfe78faf7f8fb
- Size of remote file:
- 5.18 kB
- SHA256:
- 615f74813c6ceb5db4bbb701b1e0b149624837a5f32dc9b7fb416a35c8548593
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.