Addind graphics.

README.md

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+---
+language: en
+thumbnail: 
+license: mit
+tags:
+- question-answering
+- bert
+- bert-base
+datasets:
+- squad
+metrics:
+- squad
+widget:
+- text: "Where is located the Eiffel Tower?"
+  context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffel, whose company designed and built the tower."
+- text: "Who is Frederic Chopin?"
+  context: "Frédéric François Chopin, born Fryderyk Franciszek Chopin (1 March 1810 – 17 October 1849), was a Polish composer and virtuoso pianist of the Romantic era who wrote primarily for solo piano."
+---
+
+## BERT-base uncased model fine-tuned on SQuAD v1
+
+This model is [block-sparse](https://github.com/huggingface/pytorch_block_sparse).
+
+That means that with the right runtime it can run roughly 3x faster than an dense network, with 25% of the original weights. 
+
+This of course has some impact on the accuracy (see below).
+
+It uses a modified version of Victor Sanh [Movement Pruning](https://arxiv.org/abs/2005.07683) method.
+
+This model was fine-tuned from the HuggingFace[BERT](https://www.aclweb.org/anthology/N19-1423/) base uncased checkpoint on [SQuAD1.1](https://rajpurkar.github.io/SQuAD-explorer), and distilled from the equivalent model [csarron/bert-base-uncased-squad-v1](https://huggingface.co/csarron/bert-base-uncased-squad-v1).
+This model is case-insensitive: it does not make a difference between english and English.
+
+## Pruning details
+![Pruning details](https://huggingface.co/madlag/bert-base-uncased-squad1.1-block-sparse-0.13-v1/raw/main/model_card/pruning.svg)
+
+## Density plot
+
+<script src="/madlag/bert-base-uncased-squad1.1-block-sparse-0.13-v1/raw/main/model_card/density.js" id="4af67900-bd92-4310-973e-0cf20443efff"></script>
+
+## Details
+
+| Dataset  | Split | # samples |
+| -------- | ----- | --------- |
+| SQuAD1.1 | train | 90.6K      |
+| SQuAD1.1 | eval  | 11.1k     |
+
+### Fine-tuning
+- Python: `3.8.5`
+
+- Machine specs: 
+
+  `CPU: Intel(R) Core(TM) i7-6700K CPU`
+  
+  `Memory: 64 GiB`
+
+  `GPUs: 1 GeForce GTX 3090, with 24GiB memory`
+  
+  `GPU driver: 455.23.05, CUDA: 11.1`
+
+
+### Results
+
+**Pytorch model file size**: `342`M (original BERT:`438M`)
+
+| Metric | # Value   | # Original ([Table 2](https://www.aclweb.org/anthology/N19-1423.pdf))|
+| ------ | --------- | --------- |
+| **EM** | **74.39** | **80.8** |
+| **F1** | **83.26** | **88.5** |
+
+## Example Usage
+
+```python
+from transformers import pipeline
+
+qa_pipeline = pipeline(
+    "question-answering",
+    model="madlag/bert-base-uncased-squad-v1-sparse0.25",
+    tokenizer="madlag/bert-base-uncased-squad-v1-sparse0.25"
+)
+
+predictions = qa_pipeline({
+    'context': "Frédéric François Chopin, born Fryderyk Franciszek Chopin (1 March 1810 – 17 October 1849), was a Polish composer and virtuoso pianist of the Romantic era who wrote primarily for solo piano.",
+    'question': "Who is Frederic Chopin?",
+})
+
+print(predictions)

model_card/density.js

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+(function() {
+  var fn = function() {
+    
+    (function(root) {
+      function now() {
+        return new Date();
+      }
+    
+      var force = false;
+    
+      if (typeof root._bokeh_onload_callbacks === "undefined" || force === true) {
+        root._bokeh_onload_callbacks = [];
+        root._bokeh_is_loading = undefined;
+      }
+    
+      
+      
+    
+      var element = document.getElementById("4af67900-bd92-4310-973e-0cf20443efff");
+        if (element == null) {
+          console.warn("Bokeh: autoload.js configured with elementid '4af67900-bd92-4310-973e-0cf20443efff' but no matching script tag was found.")
+        }
+      
+    
+      function run_callbacks() {
+        try {
+          root._bokeh_onload_callbacks.forEach(function(callback) {
+            if (callback != null)
+              callback();
+          });
+        } finally {
+          delete root._bokeh_onload_callbacks
+        }
+        console.debug("Bokeh: all callbacks have finished");
+      }
+    
+      function load_libs(css_urls, js_urls, callback) {
+        if (css_urls == null) css_urls = [];
+        if (js_urls == null) js_urls = [];
+    
+        root._bokeh_onload_callbacks.push(callback);
+        if (root._bokeh_is_loading > 0) {
+          console.debug("Bokeh: BokehJS is being loaded, scheduling callback at", now());
+          return null;
+        }
+        if (js_urls == null || js_urls.length === 0) {
+          run_callbacks();
+          return null;
+        }
+        console.debug("Bokeh: BokehJS not loaded, scheduling load and callback at", now());
+        root._bokeh_is_loading = css_urls.length + js_urls.length;
+    
+        function on_load() {
+          root._bokeh_is_loading--;
+          if (root._bokeh_is_loading === 0) {
+            console.debug("Bokeh: all BokehJS libraries/stylesheets loaded");
+            run_callbacks()
+          }
+        }
+    
+        function on_error() {
+          console.error("failed to load " + url);
+        }
+    
+        for (var i = 0; i < css_urls.length; i++) {
+          var url = css_urls[i];
+          const element = document.createElement("link");
+          element.onload = on_load;
+          element.onerror = on_error;
+          element.rel = "stylesheet";
+          element.type = "text/css";
+          element.href = url;
+          console.debug("Bokeh: injecting link tag for BokehJS stylesheet: ", url);
+          document.body.appendChild(element);
+        }
+    
+        const hashes = {"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js": "T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js": "98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js": "89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8"};
+    
+        for (var i = 0; i < js_urls.length; i++) {
+          var url = js_urls[i];
+          var element = document.createElement('script');
+          element.onload = on_load;
+          element.onerror = on_error;
+          element.async = false;
+          element.src = url;
+          if (url in hashes) {
+            element.crossOrigin = "anonymous";
+            element.integrity = "sha384-" + hashes[url];
+          }
+          console.debug("Bokeh: injecting script tag for BokehJS library: ", url);
+          document.head.appendChild(element);
+        }
+      };
+    
+      function inject_raw_css(css) {
+        const element = document.createElement("style");
+        element.appendChild(document.createTextNode(css));
+        document.body.appendChild(element);
+      }
+    
+      
+      var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js"];
+      var css_urls = [];
+      
+    
+      var inline_js = [
+        function(Bokeh) {
+          Bokeh.set_log_level("info");
+        },
+        
+        function(Bokeh) {
+          (function() {
+            var fn = function() {
+              Bokeh.safely(function() {
+                (function(root) {
+                  function embed_document(root) {
+                    
+                  var docs_json = 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