Text Classification
Transformers
Safetensors
Thai
English
openthai_systemone
feature-extraction
guardrail
data-sovereignty
pdpa
data-classification
thai
system-one
decision-model
custom_code
Eval Results (legacy)
Instructions to use nectec/pathumma-crossborder-guardrail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nectec/pathumma-crossborder-guardrail with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nectec/pathumma-crossborder-guardrail", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nectec/pathumma-crossborder-guardrail", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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