Text Classification
Transformers
ONNX
Safetensors
fela-moderation
fela
fourier-neural-operator
fno
gated-linear-attention
cpu
on-device
content-moderation
toxicity
pii
byte-level
custom_code
Instructions to use lowdown-labs/fela-moderator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-moderator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lowdown-labs/fela-moderator", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lowdown-labs/fela-moderator", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| torch==2.8.0 | |
| numpy==2.1.3 | |
| safetensors==0.5.3 | |
| huggingface-hub==0.34.4 | |
| # commercial-safe retrain pipeline only (not needed for serving): | |
| datasets>=2.19 | |
| faker>=25.0 | |