Fix use this model

README.md

@@ -11,20 +11,33 @@ base_model: ai21labs/Jamba-v0.1
 
 This model is a clone of [**ai21labs/Jamba-v0.1**](https://huggingface.co/ai21labs/Jamba-v0.1) compressed using ZipNN. Compressed losslessly to 67% its original size, ZipNN saved ~35GB in storage and potentially ~1PB in data transfer **monthly**.
 
-## Requirement
+### Requirement
 
 In order to use the model, ZipNN is necessary:
 ```bash
 pip install zipnn
 ```
 
-Then simply add at the beginning of the file
+### Use This Model
 ```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
 from zipnn import zipnn_hf
 
 zipnn_hf()
+
+pipe = pipeline("text-generation", model="royleibov/Jamba-v0.1-ZipNN-Compressed", trust_remote_code=True)
+```
+```python
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from zipnn import zipnn_hf
+
+zipnn_hf()
+
+tokenizer = AutoTokenizer.from_pretrained("royleibov/Jamba-v0.1-ZipNN-Compressed", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("royleibov/Jamba-v0.1-ZipNN-Compressed", trust_remote_code=True)
 ```
-And continue as usual. The patch will take care of decompressing the model correctly and safely.
 
 # Model Card for Jamba