Text Classification
Transformers
Safetensors
PEFT
English
content-moderation
safety
guardrails
multi-label-classification
liquid-ai
lfm-350m
sentinel-slm
lora
Instructions to use abdulmunimjemal/Sentinel-Rail-B-Policy-Guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulmunimjemal/Sentinel-Rail-B-Policy-Guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulmunimjemal/Sentinel-Rail-B-Policy-Guard")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abdulmunimjemal/Sentinel-Rail-B-Policy-Guard", device_map="auto") - PEFT
How to use abdulmunimjemal/Sentinel-Rail-B-Policy-Guard with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from abdulmunimjemal/Sentinel-Rail-B-Policy-Guard: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/abdulmunimjemal/Sentinel-Rail-B-Policy-Guard/resolve/main/tokenizer.json
- Command line
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hf download hf://abdulmunimjemal/Sentinel-Rail-B-Policy-Guard/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/abdulmunimjemal/Sentinel-Rail-B-Policy-Guard/resolve/main/tokenizer.json
4.73 MB
File too large to display, you can check the raw version instead.