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
- Xet hash:
- 6b7440f923548f9ff68edacba041278ce494d16ee73836768a3e75fe179034a0
- Size of remote file:
- 18.9 MB
- SHA256:
- fd8caa4628dbb5e0706cce3215e90467b2b37be2fa78141b93bfc6b1a3cabbd0
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