Update README.md

README.md

@@ -9,6 +9,9 @@ tags:
 model-index:
 - name: outputs
   results: []
+language:
+- en
+pipeline_tag: text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,7 +23,31 @@ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/g
 
 ## Model description
 
-More information needed
+Trained by Sociology Text
+
+### Example
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig, GemmaTokenizer
+
+
+model_id = ""
+bnb_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_quant_type="nf4",
+    bnb_4bit_compute_dtype=torch.bfloat16
+)
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, device_map={"":0})
+
+text = "sociology is "
+device = "cuda:0"
+inputs = tokenizer(text, return_tensors="pt").to(device)
+
+outputs = model.generate(**inputs, max_new_tokens=60)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
 
 ## Intended uses & limitations