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
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To use this model with a convenient interface [check us out on Github](https://github.com/Lowdown-Labs/fela_moderator)!
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# FELA-Moderation: CPU native content moderation and PII detection
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> **N.B.** To use this model with a convenient interface [check us out on Github](https://github.com/Lowdown-Labs/fela_moderator)!
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# FELA-Moderation: CPU native content moderation and PII detection
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