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BioM-ALBERT-xxlarge-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
 of biomedical language models recently
@@ -62,13 +62,13 @@ 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 BioM-ALBERT-xxlarge-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
 of biomedical language models recently
 - Run this python code:
 ```python
+python /content/transformers/examples/pytorch/question-answering/run_qa.py --model_name_or_path BioM-ALBERT-xxlarge-SQuAD2 \\\\\\\\\\\\\\\\
+--do_eval \\\\\\\\\\\\\\\\
+--version_2_with_negative \\\\\\\\\\\\\\\\
+--per_device_eval_batch_size 8 \\\\\\\\\\\\\\\\
+--dataset_name squad_v2 \\\\\\\\\\\\\\\\
+--overwrite_output_dir \\\\\\\\\\\\\\\\
+--fp16 \\\\\\\\\\\\\\\\
 --output_dir out
 ```