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BioM-ELECTRA-Large-SQuAD2

Question Answering

Inference Endpoints

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sultan commited on May 24, 2021

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@@ -1,6 +1,6 @@
 # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
-#Abstract
 The impact of design choices on the performance
@@ -60,13 +60,13 @@ To reproduce results in Google Colab:
 - Run this python code:
 ```python
-python /content/transformers/examples/pytorch/question-answering/run_qa.py --model_name_or_path sultan/BioM-ELECTRA-Large-SQuAD2 \\\\\\\\\\\\\\\\
---do_eval \\\\\\\\\\\\\\\\
---version_2_with_negative \\\\\\\\\\\\\\\\
---per_device_eval_batch_size 8 \\\\\\\\\\\\\\\\
---dataset_name squad_v2 \\\\\\\\\\\\\\\\
---overwrite_output_dir \\\\\\\\\\\\\\\\
---fp16 \\\\\\\\\\\\\\\\
 --output_dir out
 ```

 # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
+# Abstract
 The impact of design choices on the performance
 - Run this python code:
 ```python
+python /content/transformers/examples/pytorch/question-answering/run_qa.py --model_name_or_path sultan/BioM-ELECTRA-Large-SQuAD2 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--do_eval \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--version_2_with_negative \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--per_device_eval_batch_size 8 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--dataset_name squad_v2 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--overwrite_output_dir \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
+--fp16 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
 --output_dir out
 ```