Add model card for StackOBERTflow-comments-small (#5008)

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model_cards/giganticode/StackOBERTflow-comments-small-v1/README.md

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+# StackOBERTflow-comments-small
+
+StackOBERTflow is a RoBERTa model trained on StackOverflow comments.
+A Byte-level BPE tokenizer with dropout was used (using the `tokenizers` package).
+
+The model is *small*, i.e. has only 6-layers and the maximum sequence length was restricted to 256 tokens. 
+The model was trained for 6 epochs on several GBs of comments from the StackOverflow corpus.
+
+## Quick start: masked language modeling prediction
+
+```python
+from transformers import pipeline
+from pprint import pprint
+
+COMMENT = "You really should not do it this way, I would use <mask> instead."
+
+fill_mask = pipeline(
+    "fill-mask",
+    model="giganticode/StackOBERTflow-comments-small-v1",
+    tokenizer="giganticode/StackOBERTflow-comments-small-v1"
+)
+
+pprint(fill_mask(COMMENT))
+# [{'score': 0.019997311756014824,
+#   'sequence': '<s> You really should not do it this way, I would use jQuery instead.</s>',
+#   'token': 1738},
+#  {'score': 0.01693696901202202,
+#   'sequence': '<s> You really should not do it this way, I would use arrays instead.</s>',
+#   'token': 2844},
+#  {'score': 0.013411642983555794,
+#   'sequence': '<s> You really should not do it this way, I would use CSS instead.</s>',
+#   'token': 2254},
+#  {'score': 0.013224546797573566,
+#   'sequence': '<s> You really should not do it this way, I would use it instead.</s>',
+#   'token': 300},
+#  {'score': 0.011984303593635559,
+#   'sequence': '<s> You really should not do it this way, I would use classes instead.</s>',
+#   'token': 1779}]
+```