Text Classification
Transformers
Safetensors
Portuguese
bert
moderation
portuguese
pt-br
content-moderation
spam-detection
toxicity-detection
lightweight
text-embeddings-inference
Instructions to use Comunidade-Synapse-BR/Synapse-Guard-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Comunidade-Synapse-BR/Synapse-Guard-v1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Comunidade-Synapse-BR/Synapse-Guard-v1.2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Comunidade-Synapse-BR/Synapse-Guard-v1.2") model = AutoModelForSequenceClassification.from_pretrained("Comunidade-Synapse-BR/Synapse-Guard-v1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52e501c6e72ce01f3dca09e28c2993929ef7debe531bad81d6f84afd9e5c252d
- Size of remote file:
- 5.2 kB
- SHA256:
- f31dd94638f518fd33c6fbee7361ed9bb44d086b3aaea7774e4c5fc324acfb7a
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