Create README.md

## Installation
Install dependencies (now via our fork, wi'll update after PR)
```
pip install "gliner2 @ git+https://github.com/bogdanminko/GLiNER2.git@feature/bi-encoder" torch transformers
```
## Usage
Classify Harmful messages and Detect PII via single forward pass
```
from gliner2 import GLiNER2

model = GLiNER2.from_pretrained("raft-security-lab/gliner-guard-biencoder")
model.config.cache_labels = True
model.compile()

PII_LABELS = ["person", "location", "email", "phone"]
SAFETY_LABELS = ["safe", "unsafe"]
schema = (model.create_schema()
.entities(entity_types=PII_LABELS, threshold=0.4)
.classification(task="safety", labels=SAFETY_LABELS)
)

result = model.extract(
"Send $500 to John Smith at john.smith@gmail.com or I'll leak your photos",
schema=schema
)

README.md

@@ -0,0 +1,15 @@
+---
+license: apache-2.0
+language:
+- en
+- ru
+base_model:
+- jhu-clsp/mmBERT-small
+pipeline_tag: zero-shot-classification
+tags:
+- gliner2
+- safety
+- pii
+- ai-security
+- zero-shot
+---