Text Classification
Transformers
Safetensors
English
llama
moderation
toxicity
content-moderation
safety
quark
multi-label-classification
jigsaw
hate-speech
italian-ai
text-embeddings-inference
Instructions to use ThingAI/Quark-Mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThingAI/Quark-Mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThingAI/Quark-Mod")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThingAI/Quark-Mod") model = AutoModelForSequenceClassification.from_pretrained("ThingAI/Quark-Mod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ThingAI/Quark-Mod: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/ThingAI/Quark-Mod/resolve/main/tokenizer.json
- Command line
-
hf download hf://ThingAI/Quark-Mod/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ThingAI/Quark-Mod/resolve/main/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.