From e91692f4a3028b56bc22f930f36b639f4e61c480 Mon Sep 17 00:00:00 2001
From: ahotrod <44321615+ahotrod@users.noreply.github.com>
Date: Fri, 3 Apr 2020 06:27:57 -0700
Subject: [PATCH] Update README.md (#3603)

---
 .../albert_xxlargev1_squad2_512/README.md     | 25 +++----------------
 1 file changed, 3 insertions(+), 22 deletions(-)

diff --git a/model_cards/ahotrod/albert_xxlargev1_squad2_512/README.md b/model_cards/ahotrod/albert_xxlargev1_squad2_512/README.md
index a7cccda85c..61e0c291a5 100644
--- a/model_cards/ahotrod/albert_xxlargev1_squad2_512/README.md
+++ b/model_cards/ahotrod/albert_xxlargev1_squad2_512/README.md
@@ -64,27 +64,8 @@ TensorFlow: 2.1.0
 Python: 3.7.6
 ```
 
-### Inferencing / prediction works with the current Transformers v2.4.1
-
-### Access this albert_xxlargev1_sqd2_512 fine-tuned model with "tried & true" code:
+### Access this albert_xxlargev1_sqd2_512 fine-tuned model with:
 
 ```python
-config_class, model_class, tokenizer_class = \
-        AlbertConfig, AlbertForQuestionAnswering, AlbertTokenizer
-
-model_name_or_path = "ahotrod/albert_xxlargev1_squad2_512"
-config = config_class.from_pretrained(model_name_or_path)
-tokenizer = tokenizer_class.from_pretrained(model_name_or_path, do_lower_case=True)
-model = model_class.from_pretrained(model_name_or_path, config=config)
-```
-
-### or the AutoModels (AutoConfig, AutoTokenizer & AutoModel) should also work, however I have yet to use them in my app & confirm:
-
-```python
-from transformers import AutoConfig, AutoTokenizer, AutoModel
-
-model_name_or_path = "ahotrod/albert_xxlargev1_squad2_512"
-config = AutoConfig.from_pretrained(model_name_or_path)
-tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, do_lower_case=True)
-model = AutoModel.from_pretrained(model_name_or_path, config=config)
-```
\ No newline at end of file
+tokenizer = AutoTokenizer.from_pretrained("ahotrod/albert_xxlargev1_squad2_512")
+model = AutoModelForQuestionAnswering.from_pretrained("ahotrod/albert_xxlargev1_squad2_512")