feat: push custom model

README.md

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+# _test__2810825673
+
+## Model Description
+
+_test__2810825673 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/dataset/florianhoenicke/_test__2810825673).
+
+## 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 = "_test__2810825673"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+tokens = tokenizer("Your text here", return_tensors="pt")
+embedding = model(**tokens)
+```