Update README.md

README.md

@@ -4,7 +4,39 @@ datasets:
 language:
 - en
 metrics:
-- f1
+- f1=0.87
 - precision
 - recall
----
+---
+# HuggingsaurusRex/bert-base-uncased-for-mountain-ner
+
+## Purpose
+Detect mountain names in text using token classification.
+
+## Usage
+```python
+from transformers import AutoModelForTokenClassification, AutoTokenizer, pipeline
+
+# Load model and tokenizer
+model = AutoModelForTokenClassification.from_pretrained('huggingsaurusRex/bert-base-uncased-for-mountain-ner')
+tokenizer = AutoTokenizer.from_pretrained('huggingsaurusRex/bert-base-uncased-for-mountain-ner')
+
+# Create NER pipeline
+ner = pipeline('ner', model=model, tokenizer=tokenizer)
+
+# Perform inference
+res = ner("I spent days climbing the Mount Everest.")
+print(res)
+```
+
+## Architecture
+The model is a BERT-based token classification model fine-tuned on the Few-NERD dataset.
+
+## Results
+- F1-Score: 0.87
+- Precision: 0.84
+- Recall: 0.91
+
+## Direct Link
+[HuggingsaurusRex/bert-base-uncased-for-mountain-ner](https://huggingface.co/huggingsaurusRex/bert-base-uncased-for-mountain-ner)
+