---
library_name: transformers
tags:
- autotrain
- text-generation-inference
base_model:
- meta-llama/Llama-4-Scout-17B-16E-Instruct
- openai-community/gpt2
widget:
- source_sentence: 'search_query: i love autotrain'
  sentences:
  - 'search_query: huggingface auto train'
  - 'search_query: hugging face auto train'
  - 'search_query: i love autotrain'
pipeline_tag: text-generation
datasets:
- narendra0892/ai-product-crc-training
- narendra0892/crc-ai-csv
---

# Model Trained Using AutoTrain

- Problem type: Sentence Transformers

## Validation Metrics
No validation metrics available

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the Hugging Face Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'search_query: autotrain',
    'search_query: auto train',
    'search_query: i love autotrain',
]
embeddings = model.encode(sentences)
print(embeddings.shape)

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
```