Text Classification
Transformers
Safetensors
Portuguese
bert
portuguese
pt-br
content-moderation
spam-detection
toxicity-detection
adult-content
lightweight
text-embeddings-inference
Instructions to use Comunidade-Synapse-BR/Synapse-Guard-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Comunidade-Synapse-BR/Synapse-Guard-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Comunidade-Synapse-BR/Synapse-Guard-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Comunidade-Synapse-BR/Synapse-Guard-v1") model = AutoModelForSequenceClassification.from_pretrained("Comunidade-Synapse-BR/Synapse-Guard-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a6a327edad9c7f6af5c8a14b29710891a4d15d736d195f7f8911ced053e015b
- Size of remote file:
- 5.2 kB
- SHA256:
- c65503becdfbbfcb2476865924aa4aeb84c2f88c2571ee6332156681adbbcc3a
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