Release GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1

README.md

@@ -1,9 +1,9 @@
-
 ---
 datasets:
 - GreenNode/GreenNode-Table-Markdown-Retrieval
 language:
 - vi
+- en
 library_name: sentence-transformers
 pipeline_tag: sentence-similarity
 tags:
@@ -13,7 +13,7 @@ tags:
 widget: []
 metrics:
 - InfoNCE
-license: cc-by-4.0
+license: mit
 ---
 
 # SentenceTransformer
@@ -24,13 +24,11 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
 - **Maximum Sequence Length:** 8192 tokens
 - **Output Dimensionality:** 1024 tokens
 - **Similarity Function:** Cosine Similarity
-- **Training Dataset:** - GreenNode/GreenNode-Table-Markdown-Retrieval 
+- **Training Dataset:** - [GreenNode/GreenNode-Table-Markdown-Retrieval](https://huggingface.co/datasets/GreenNode/GreenNode-Table-Markdown-Retrieval-VN)
 - **Language:** Vietnamese
-- **License:** cc-by-4.0
 
 ### Model Sources
 
@@ -63,7 +61,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("sentence_transformers_model_id")
+model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1")
 # Run inference
 sentences = [
     'The weather is lovely today.',
@@ -80,43 +78,6 @@ print(similarities.shape)
 # [3, 3]
 ```
 
-<!--
-### Direct Usage (Transformers)
-
-<details><summary>Click to see the direct usage in Transformers</summary>
-
-</details>
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-
-<!--
-### Downstream Usage (Sentence Transformers)
-
-You can finetune this model on your own dataset.
-
-<details><summary>Click to expand</summary>
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-### Out-of-Scope Use
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-*List how the model may foreseeably be misused and address what users ought not to do with the model.*
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-## Bias, Risks and Limitations
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-### Recommendations
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-
-## Training Details
 ## Evaluation
 ### Table: Performance comparison of various models on GreenNodeTableRetrieval
 Dataset:  [GreenNode/GreenNode-Table-Markdown-Retrieval](https://huggingface.co/datasets/GreenNode/GreenNode-Table-Markdown-Retrieval-VN)
@@ -197,24 +158,10 @@ Dataset: [taidng/UIT-ViQuAD2.0](https://huggingface.co/datasets/taidng/UIT-ViQuA
 - Datasets: 2.20.0
 - Tokenizers: 0.19.1
 
-## Citation
-
-### BibTeX
+## License
 
-<!--
-## Glossary
+This repository and the model weights are licensed under the [MIT License](LICENSE).
 
-*Clearly define terms in order to be accessible across audiences.*
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-## Model Card Authors
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+## Citation
 
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+### BibTeX