Update README.md

README.md

@@ -15,28 +15,33 @@ tags:
 base_model: prajjwal1/bert-mini
 widget:
 - text: what did marlo thomas play on
-- text: 'Unused vacation does not roll over. to next calendar year and is not paid
-    out at termination. Please Note: This table applies to employees in positions
-    with 100% FTE. The number of hours/days of vacation are pro-rated for FTEs between
-    75%. and 99%. For Example: If a non-exempt employee who is within their first
-    five years of service has an FTE of 75%, then the number of hours they would.
-    accrue each month would be 6 (8 x .75 = 6) and not 8.'
-- text: 'To convert from miles to feet by hand, multiply miles by 5280. miles * 5280
-    = feet. To convert from feet to miles by hand, divide feet by 5280. feet / 5280
-    = miles. An automated version of this calculator can be found here:'
-- text: All you have to do is click on the button directly below and follow the instructions.
-    Click he relevant payment button below for £55 payment. --------------------------.
-    Star Attuned Crystals for Activation. Another way to receive star energies and
-    activations is to buy the attuned crystals that I provide.These carry the energies
-    of specific stars or star beings and guides. By holding these you can feel the
-    energies of the star or star being and this brings healing, activation, spiritual
-    growth and sometimes communication.he highest form of star energy work / activation
-    is to receive a Star Attunement. Star Attunements carry the power of stars and
-    evolved star beings. They are off the scale and profoundly beautiful and spiritual.
-- text: Fermentation is a metabolic pathway that produce ATP molecules under anaerobic
-    conditions (only undergoes glycolysis), NAD+ is used directly in glycolysis to
-    form ATP molecules, which is not as efficient as cellular respiration because
-    only 2ATP molecules are formed during the glycolysis.
+- text: >-
+    Unused vacation does not roll over. to next calendar year and is not paid
+    out at termination. Please Note: This table applies to employees in
+    positions with 100% FTE. The number of hours/days of vacation are pro-rated
+    for FTEs between 75%. and 99%. For Example: If a non-exempt employee who is
+    within their first five years of service has an FTE of 75%, then the number
+    of hours they would. accrue each month would be 6 (8 x .75 = 6) and not 8.
+- text: >-
+    To convert from miles to feet by hand, multiply miles by 5280. miles * 5280
+    = feet. To convert from feet to miles by hand, divide feet by 5280. feet /
+    5280 = miles. An automated version of this calculator can be found here:
+- text: >-
+    All you have to do is click on the button directly below and follow the
+    instructions. Click he relevant payment button below for £55 payment.
+    --------------------------. Star Attuned Crystals for Activation. Another
+    way to receive star energies and activations is to buy the attuned crystals
+    that I provide.These carry the energies of specific stars or star beings and
+    guides. By holding these you can feel the energies of the star or star being
+    and this brings healing, activation, spiritual growth and sometimes
+    communication.he highest form of star energy work / activation is to receive
+    a Star Attunement. Star Attunements carry the power of stars and evolved
+    star beings. They are off the scale and profoundly beautiful and spiritual.
+- text: >-
+    Fermentation is a metabolic pathway that produce ATP molecules under
+    anaerobic conditions (only undergoes glycolysis), NAD+ is used directly in
+    glycolysis to form ATP molecules, which is not as efficient as cellular
+    respiration because only 2ATP molecules are formed during the glycolysis.
 pipeline_tag: feature-extraction
 library_name: sentence-transformers
 metrics:
@@ -126,38 +131,13 @@ model-index:
     - type: corpus_sparsity_ratio
       value: 0.9962823369573983
       name: Corpus Sparsity Ratio
+datasets:
+- microsoft/ms_marco
 ---
 
 # SPLADE-BERT-Mini-Distil
 
 This is a [SPLADE Sparse Encoder](https://www.sbert.net/docs/sparse_encoder/usage/usage.html) model finetuned from [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) using the [sentence-transformers](https://www.SBERT.net) library. It maps sentences & paragraphs to a 30522-dimensional sparse vector space   and can be used for semantic search and sparse retrieval.
-## Model Details
-
-### Model Description
-- **Model Type:** SPLADE Sparse Encoder
-- **Base model:** [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) <!-- at revision 5e123abc2480f0c4b4cac186d3b3f09299c258fc -->
-- **Maximum Sequence Length:** 512 tokens
-- **Output Dimensionality:** 30522 dimensions
-- **Similarity Function:** Dot Product
-<!-- - **Training Dataset:** Unknown -->
-- **Language:** en
-- **License:** mit
-
-### Model Sources
-
-- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
-- **Documentation:** [Sparse Encoder Documentation](https://www.sbert.net/docs/sparse_encoder/usage/usage.html)
-- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
-- **Hugging Face:** [Sparse Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=sparse-encoder)
-
-### Full Model Architecture
-
-```
-SparseEncoder(
-  (0): MLMTransformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertForMaskedLM'})
-  (1): SpladePooling({'pooling_strategy': 'max', 'activation_function': 'relu', 'word_embedding_dimension': 30522})
-)
-```
 
 ## Usage
 
@@ -174,7 +154,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SparseEncoder
 
 # Download from the 🤗 Hub
-model = SparseEncoder("yosefw/SPLADE-BERT-Mini-distil-v2")
+model = SparseEncoder("rasyosef/splade-mini")
 # Run inference
 queries = [
     "definition of fermentation in the lab",
@@ -219,6 +199,36 @@ You can finetune this model on your own dataset.
 *List how the model may foreseeably be misused and address what users ought not to do with the model.*
 -->
 
+## Model Details
+
+### Model Description
+- **Model Type:** SPLADE Sparse Encoder
+- **Base model:** [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) <!-- at revision 5e123abc2480f0c4b4cac186d3b3f09299c258fc -->
+- **Maximum Sequence Length:** 512 tokens
+- **Output Dimensionality:** 30522 dimensions
+- **Similarity Function:** Dot Product
+<!-- - **Training Dataset:** Unknown -->
+- **Language:** en
+- **License:** mit
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Documentation:** [Sparse Encoder Documentation](https://www.sbert.net/docs/sparse_encoder/usage/usage.html)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
+- **Hugging Face:** [Sparse Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=sparse-encoder)
+
+### Full Model Architecture
+
+```
+SparseEncoder(
+  (0): MLMTransformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertForMaskedLM'})
+  (1): SpladePooling({'pooling_strategy': 'max', 'activation_function': 'relu', 'word_embedding_dimension': 30522})
+)
+```
+
+## More
+<details><summary>Click to expand</summary>
 ## Evaluation
 
 ### Metrics
@@ -515,4 +525,5 @@ You can finetune this model on your own dataset.
 ## Model Card Contact
 
 *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
---> 
+-->
+</details>