Update README.md

README.md

@@ -1,3 +1,39 @@
----
-license: mit
----
+---
+tags:
+- mamba2
+license: mit
+library_name: transformers
+---
+
+# mamba2-2.7b-hf
+
+Converted files of the original model at [mamba2-2.7b](https://huggingface.co/state-spaces/mamba2-2.7b) to HF transformers compatible formats. 
+Not affiliated with both the original authors or hf.
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("AntonV/mamba2-2.7b-hf")
+model = AutoModelForCausalLM.from_pretrained("AntonV/mamba2-2.7b-hf")
+
+input_ids = tokenizer("Hey how are you doing?", return_tensors="pt")["input_ids"]
+out = model.generate(input_ids, max_new_tokens=10)
+print(tokenizer.batch_decode(out))
+```
+
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+```bibtex
+@inproceedings{mamba2,
+ title={Transformers are {SSM}s: Generalized Models and Efficient Algorithms Through Structured State Space Duality},
+ author={Dao, Tri and Gu, Albert},
+ booktitle={International Conference on Machine Learning (ICML)},
+ year={2024}
+}
+```