Update README.md

README.md

@@ -11,11 +11,11 @@ datasets:
 SNet-T25 is an MLIP trained on the Titan25 dataset.
 It was designed for general chemical reactivity, including interfacial reactions,
 and trained on the eleven elements included in [Titan25](https://huggingface.co/datasets/aixsim/Titan25) (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru).
-Its evaluation results are available at [GAIA paper](https://arxiv.org/abs/2509.25798),
+The evaluation results are available in [GAIA paper](https://arxiv.org/abs/2509.25798),
 which also provides full details of the model architecture and hyperparameters.
 
-The original SNet-T25 was trained using our in-house framework;
-we provide a converted version that can be directly used with [the SevenNet framework](https://github.com/MDIL-SNU/SevenNet).
+The original SNet-T25 was trained with our in-house framework;
+we provide a converted checkpoint that can be used directly with [the SevenNet framework](https://github.com/MDIL-SNU/SevenNet).
 To enable compatibility, the user only need to apply the following minor modifications:
 - Modify line 5 in `SevenNet/sevenn/__init__.py` to, e.g., `__version__ = '0.11.0'`. This allows the user to use it without installing SevenNet.
 - Comment out line 332 in `SevenNet/sevenn/checkpoint.py`, i.e., `assert len(missing) == 0, f'Missing keys: {missing}'`