Text Classification
Transformers
Safetensors
English
distilbert
agent-safety
policy-aware-ai
tool-use
forward-deployed-engineering
applied-ai
text-embeddings-inference
Instructions to use taran1812/agentguard-decision-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taran1812/agentguard-decision-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="taran1812/agentguard-decision-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("taran1812/agentguard-decision-distilbert") model = AutoModelForSequenceClassification.from_pretrained("taran1812/agentguard-decision-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76d0600cfbcc8196d40c1215ae47ecbd272f17d0757aa7f552068d1fa1b0ec72
- Size of remote file:
- 5.33 kB
- SHA256:
- 58ce097b30334a1366e835b0d29ca5f6851ee569a511d642f2c2adbd261272e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.