Update README.md

README.md

@@ -10,7 +10,7 @@ model-index:
 - name: gemma-3-270m-tuned-0105-1022-tuned-0105-1045-tuned-0105-1111-tuned-0105-1133-tuned-0105-1735
   results: []
 ---
-# gemma-3-270m-tuned-0105-1022-tuned-0105-1045-tuned-0105-1111-tuned-0105-1133-tuned-0105-1735
+# broadfield-dev/gemma-3-270m-context-qa
 This model is a fine-tuned version of [broadfield-dev/gemma-3-270m-tuned-0105-1022-tuned-0105-1045-tuned-0105-1111-tuned-0105-1133](https://huggingface.co/broadfield-dev/gemma-3-270m-tuned-0105-1022-tuned-0105-1045-tuned-0105-1111-tuned-0105-1133) on the [broadfield-dev/deepmind_narrativeqa-Broadfield](https://huggingface.co/broadfield-dev/deepmind_narrativeqa-Broadfield) dataset.
 ## Training Details
 - **Task:** CAUSAL_LM
@@ -25,7 +25,7 @@ This model is a fine-tuned version of [broadfield-dev/gemma-3-270m-tuned-0105-10
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
-model_id = "broadfield-dev/gemma-3-270m-tuned-0105-1022-tuned-0105-1045-tuned-0105-1111-tuned-0105-1133-tuned-0105-1735"
+model_id = "broadfield-dev/gemma-3-270m-context-qa"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16)
 messages = [