Update README.md

README.md

@@ -57,6 +57,57 @@ The model was evaluated on the test split of the `LLMTrace Detection dataset`. T
 | mAP @ IoU=0.5 | 0.8976 |
 | mAP @ IoU=0.5:0.95 | 0.7921 |
 
+## Quick start
+
+Requirements:
+- python3.11
+- [gigacheck](https://github.com/ai-forever/gigacheck)
+
+```bash
+pip install git+https://github.com/ai-forever/gigacheck
+```
+
+### Inference with transformers (with trust_remote_code=True)
+
+```python
+from transformers import AutoModel
+import torch
+
+model_name = "iitolstykh/GigaCheck-Detector-Multi"
+gigacheck_model = AutoModel.from_pretrained(
+    model_name, trust_remote_code=True, device_map="cuda:0", torch_dtype=torch.float32
+)
+
+text = "The critic's review of the recent publication was scathing. The book failed miserably in portraying the harmful subjective discourses associated with the hegemony of the political system."
+
+output = gigacheck_model([text], conf_interval_thresh=0.5)
+
+# [(start_char, end_char, score)]
+print(output.ai_intervals)
+```
+
+### Inference with gigacheck
+
+```python
+from transformers import AutoConfig
+from gigacheck.inference.src.mistral_detector import MistralDetector
+import torch
+
+model_name = "iitolstykh/GigaCheck-Detector-Multi"
+
+config = AutoConfig.from_pretrained(model_name)
+model = MistralDetector(
+    max_seq_len=config.max_length,
+    with_detr=config.with_detr,
+    id2label=config.id2label,
+    device="cpu" if not torch.cuda.is_available() else "cuda:0",
+    conf_interval_thresh=0.5,
+).from_pretrained(model_name)
+
+text = "The critic's review of the recent publication was scathing. The book failed miserably in portraying the harmful subjective discourses associated with the hegemony of the political system."
+output = model.predict(text)
+print(output)
+```
 
 ## Citation