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yehoshuadiller commited on Apr 3

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@@ -30,7 +30,7 @@ Here you can find a description on each of our models. Each row contains the mod
 | **DICTA_basic_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on the [basic](https://huggingface.co/datasets/FusioNER/Basic) IAHALT dataset| [FusioNER/DICTA_basic](https://huggingface.co/FusioNER/DICTA_basic) | IAHALT | [FusioNER/Basic](https://huggingface.co/datasets/FusioNER/Basic) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
 | **DICTA_smart_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on IAHALT + [Name-Sentences](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#1-name-sentences) + [Entity-Injection](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#2-entity-injection)] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/DICTA_Smart](https://huggingface.co/FusioNER/DICTA_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
 | **DICTA_Large_Smart** | Training the [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) model on IAHALT + [Name-Sentences](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#1-name-sentences) + [Entity-Injection](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#2-entity-injection)] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/Dicta_Large_Smart](https://huggingface.co/FusioNER/Dicta_Large_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
-| **TEC_NER** | Basic technology NER model | [tec_ner](https://huggingface.co/FusioNER/tec_ner) | TEC_NER | [FusioNER/tec_ner](https://huggingface.co/datasets/FusioNER/tec_ner) | base model | TEC |
 # Results
 We test our models on the **IAHALT test set**. We also check another models, such as [DictaBert](https://huggingface.co/dicta-il/dictabert) and [HeBert](https://huggingface.co/avichr/heBERT). This is the performence results:

 | **DICTA_basic_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on the [basic](https://huggingface.co/datasets/FusioNER/Basic) IAHALT dataset| [FusioNER/DICTA_basic](https://huggingface.co/FusioNER/DICTA_basic) | IAHALT | [FusioNER/Basic](https://huggingface.co/datasets/FusioNER/Basic) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
 | **DICTA_smart_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on IAHALT + [Name-Sentences](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#1-name-sentences) + [Entity-Injection](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#2-entity-injection)] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/DICTA_Smart](https://huggingface.co/FusioNER/DICTA_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
 | **DICTA_Large_Smart** | Training the [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) model on IAHALT + [Name-Sentences](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#1-name-sentences) + [Entity-Injection](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#2-entity-injection)] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/Dicta_Large_Smart](https://huggingface.co/FusioNER/Dicta_Large_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) | [classic[4]](https://huggingface.co/spaces/FusioNER/README/blob/main/README.md#4-classic) |
+| **TEC_NER** | Basic technology NER model | [FusioNER/tec_ner](https://huggingface.co/FusioNER/tec_ner) | TEC_NER | [FusioNER/tec_ner](https://huggingface.co/datasets/FusioNER/tec_ner) | base model | TEC |
 # Results
 We test our models on the **IAHALT test set**. We also check another models, such as [DictaBert](https://huggingface.co/dicta-il/dictabert) and [HeBert](https://huggingface.co/avichr/heBERT). This is the performence results: