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---
library_name: transformers
license: apache-2.0
base_model:
- state-spaces/mamba2-130m
---
## How to Get Started with the Model
Use the code below to get started with the model.
```python
import torch
from transformers import AutoTokenizer
from transformers import Mamba2ForCausalLM
if __name__ == "__main__":
device = "cuda"
model_id = "benchang1110/mamba2-130m-hf"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = Mamba2ForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map=device)
model.eval()
with torch.no_grad():
text = input("Input: ")
input_ids = tokenizer(text, return_tensors="pt").to(device)
output = model.generate(**input_ids, max_new_tokens=1024, do_sample=False)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```
Conversion script: [mamba2hf.py](https://gist.github.com/Benchangatrul284/9e98bcde5a64d6b918d905511e09598b)
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