nasa-impact
/

nasa-smd-ibm-st-v2

Sentence Similarity

sentence-transformers

text-embeddings-inference

Inference Endpoints

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Muthukumaran commited on Mar 20

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@@ -14,6 +14,8 @@ pipeline_tag: sentence-similarity
 `nasa-smd-ibm-st-v2` is a Bi-encoder sentence transformer model, that is fine-tuned from nasa-smd-ibm-v0.1 encoder model. it is an updated version of `nasa-smd-ibm-st` with better performance (shown below). It's trained with 271 million examples along with a domain-specific dataset of 2.6 million examples from documents curated by NASA Science Mission Directorate (SMD). With this model, we aim to enhance natural language technologies like information retrieval and intelligent search as it applies to SMD NLP applications.
 ## Model Details
 - **Base Encoder Model**: nasa-smd-ibm-v0.1
 - **Tokenizer**: Custom

 `nasa-smd-ibm-st-v2` is a Bi-encoder sentence transformer model, that is fine-tuned from nasa-smd-ibm-v0.1 encoder model. it is an updated version of `nasa-smd-ibm-st` with better performance (shown below). It's trained with 271 million examples along with a domain-specific dataset of 2.6 million examples from documents curated by NASA Science Mission Directorate (SMD). With this model, we aim to enhance natural language technologies like information retrieval and intelligent search as it applies to SMD NLP applications.
+you can also use distilled version of the model here: https://huggingface.co/nasa-impact/nasa-ibm-st.38m
 ## Model Details
 - **Base Encoder Model**: nasa-smd-ibm-v0.1
 - **Tokenizer**: Custom