feat: push custom model

README.md

@@ -0,0 +1,27 @@
+# florian-test-run_9062874564
+
+## Model Description
+
+florian-test-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
+
+## Use Case
+This model is designed to support various applications in natural language processing and understanding.
+
+## Associated Dataset
+
+This the dataset for this model can be found [**here**](https://huggingface.co/datasets/florianhoenicke/florian-test-run_9062874564).
+
+## How to Use
+
+This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "florian-test-run_9062874564"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+tokens = tokenizer("Your text here", return_tensors="pt")
+embedding = model(**tokens)
+```