---
license: apache-2.0
language:
- en
metrics:
- accuracy
- perplexity
pipeline_tag: text-generation
library_name: transformers
---
# SAM1 Hybrid Model

## Architecture
- Transformer + CNN + RNN
- Parameters: 253,748,736 (~253.7M)
- 24L × 768d × 12H

## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("path/to/model")
model = AutoModelForCausalLM.from_pretrained("path/to/model")

prompt = "User: Hello!\nSam:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
```