Update README.md

README.md

@@ -31,7 +31,7 @@ To correctly load the full model, include the `trust_remote_code=True` argument
 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/manifestoberta-xlm-roberta-56policy-topics-context-2023-1", trust_remote_code=True)
+model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/manifestoberta-xlm-roberta-56policy-topics-context-2023-1-1", trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
 
 sentence = "These principles are under threat."
@@ -94,8 +94,8 @@ The model was evaluated on a test set of 199,046 annotated manifesto statements.
 
 |                                                                                                       | Accuracy | Top2_Acc | Top3_Acc | Precision| Recall | F1_Macro | MCC | Cross-Entropy |
 |-------------------------------------------------------------------------------------------------------|:--------:|:--------:|:--------:|:--------:|:------:|:--------:|:---:|:-------------:|
-[Sentence Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-sentence-2023a)|   0.57   |   0.73   |	  0.81   |	  0.49  |  0.43  |	 0.45   | 0.55|	     1.5      |
-[Context Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-context-2023a)  |   0.64   |   0.81   |   0.88   |    0.54  |  0.52  |   0.53   | 0.62|      1.15     |
+[Sentence Model](https://huggingface.co/manifesto-project/manifestoberta-xlm-roberta-56policy-topics-sentence-2023-1-1)|   0.57   |   0.73   |	  0.81   |	  0.49  |  0.43  |	 0.45   | 0.55|	     1.5      |
+[Context Model](https://huggingface.co/manifesto-project/manifestoberta-xlm-roberta-56policy-topics-context-2023-1-1)  |   0.64   |   0.81   |   0.88   |    0.54  |  0.52  |   0.53   | 0.62|      1.15     |
 
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