Update README.md

README.md

@@ -6,7 +6,7 @@ language:
 # Text Classification Toxicity
 
 This is a quantized onnx model and is a fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large) on the on the [Jigsaw 1st Kaggle competition](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge) dataset using [unitary/toxic-bert](https://huggingface.co/unitary/toxic-bert) as teacher model.
-The original model can be found [here](https://huggingface.co/minuva/MiniLMv2-toxic-jijgsaw)
+The original model can be found [here](https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw)
 
 
 # Usage
@@ -16,7 +16,7 @@ The original model can be found [here](https://huggingface.co/minuva/MiniLMv2-to
 ```bash
 pip install tokenizers
 pip install onnxruntime
-git clone https://huggingface.co/minuva/MiniLMv2-toxic-jijgsaw-onnx
+git clone https://huggingface.co/minuva/MiniLMv2-toxic-jigsaw-onnx
 ```
 
 
@@ -31,7 +31,7 @@ from tokenizers import Tokenizer
 from onnxruntime import InferenceSession
 
 
-model_name = "minuva/MiniLMv2-toxic-jijgsaw-onnx"
+model_name = "minuva/MiniLMv2-toxic-jigsaw-onnx"
 tokenizer = Tokenizer.from_pretrained(model_name)
 tokenizer.enable_padding(
     pad_token="<pad>",
@@ -42,9 +42,9 @@ batch_size = 16
 
 texts = ["This is pure trash",]
 outputs = []
-model = InferenceSession("MiniLMv2-toxic-jijgsaw-onnx/model_optimized_quantized.onnx", providers=['CUDAExecutionProvider'])
+model = InferenceSession("MiniLMv2-toxic-jigsaw-onnx/model_optimized_quantized.onnx", providers=['CUDAExecutionProvider'])
 
-with open(os.path.join("MiniLMv2-toxic-jijgsaw-onnx", "config.json"), "r") as f:
+with open(os.path.join("MiniLMv2-toxic-jigsaw-onnx", "config.json"), "r") as f:
             config = json.load(f)
 
 output_names = [output.name for output in model.get_outputs()]
@@ -115,7 +115,7 @@ The following hyperparameters were used during training:
 
 | Teacher (params)    |   Student (params)     | Set  (metric)     | Score (teacher)    |    Score (student)      |
 |--------------------|-------------|----------|--------| --------|
-| unitary/toxic-bert (110M) |  MiniLMv2-toxic-jijgsaw-onnx (23M)  | Test (ROC_AUC)  | 0.98636 |  0.98130 |
+| unitary/toxic-bert (110M) |  MiniLMv2-toxic-jigsaw-onnx (23M)  | Test (ROC_AUC)  | 0.98636 |  0.98130 |
 
 # Deployment