Text Classification
Transformers
Safetensors
English
distilbert
moderation
filtering
offensive
clean
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use akaruineko/ftan-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akaruineko/ftan-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akaruineko/ftan-2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akaruineko/ftan-2.0") model = AutoModelForSequenceClassification.from_pretrained("akaruineko/ftan-2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29734fb46a8bdbd5a65c58f40448fd625ed098f671ab445c8574da0cc2fb6128
- Size of remote file:
- 5.2 kB
- SHA256:
- cb8706aa531daaedddce33b5dacc9bec06d3facf4a0c3b16dd9ba103cb2c6d38
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