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
| { | |
| "n_tax": 19, | |
| "n_pii_tags": 113, | |
| "taxonomy": [ | |
| "harassment", | |
| "harassment_threatening", | |
| "hate", | |
| "hate_threatening", | |
| "self_harm", | |
| "self_harm_intent", | |
| "self_harm_instructions", | |
| "sexual", | |
| "sexual_minors", | |
| "violence", | |
| "violence_graphic", | |
| "identity_attack", | |
| "insult", | |
| "profanity_obscene", | |
| "threat", | |
| "sexual_explicit", | |
| "severe_toxicity", | |
| "dehumanize", | |
| "incitement_violence" | |
| ], | |
| "jigsaw": [ | |
| "toxic", | |
| "severe_toxic", | |
| "obscene", | |
| "threat", | |
| "insult", | |
| "identity_hate" | |
| ], | |
| "ship": "weights_only", | |
| "tiers": [ | |
| { | |
| "tier": "full", | |
| "int8_bytes": 18930912, | |
| "int8_mb": 18.93 | |
| } | |
| ] | |
| } |