Text Classification
Transformers
Safetensors
Hebrew
bert
profanity-detection
toxicity
hebrew
alephbert
text-embeddings-inference
Instructions to use LikoKIko/OpenCensor-H1-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LikoKIko/OpenCensor-H1-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LikoKIko/OpenCensor-H1-Mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LikoKIko/OpenCensor-H1-Mini") model = AutoModelForSequenceClassification.from_pretrained("LikoKIko/OpenCensor-H1-Mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LikoKIko/OpenCensor-H1-Mini: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/LikoKIko/OpenCensor-H1-Mini/resolve/main/tokenizer.json
- Command line
-
hf download hf://LikoKIko/OpenCensor-H1-Mini/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/LikoKIko/OpenCensor-H1-Mini/resolve/main/tokenizer.json
1.37 MB
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