transformers のバージョンを 4.41.0 未満に固定

chapter05/5-2-sentiment-analysis-finetuning-wrime.ipynb

@@ -186,7 +186,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-2-sentiment-analysis-finetuning.ipynb

@@ -196,7 +196,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-3-sentiment-analysis-analysis-wrime.ipynb

@@ -173,7 +173,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] matplotlib scikit-learn"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  matplotlib scikit-learn"
       ]
     },
     {

chapter05/5-3-sentiment-analysis-analysis.ipynb

@@ -183,7 +183,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] matplotlib scikit-learn"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  matplotlib scikit-learn"
       ]
     },
     {

chapter05/5-4-multiple-choice-qa-analysis.ipynb

@@ -180,7 +180,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] matplotlib scikit-learn"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  matplotlib scikit-learn"
       ]
     },
     {

chapter05/5-4-multiple-choice-qa-finetuning.ipynb

@@ -193,7 +193,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-4-nli-analysis.ipynb

@@ -180,7 +180,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] matplotlib scikit-learn"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  matplotlib scikit-learn"
       ]
     },
     {

chapter05/5-4-nli-finetuning.ipynb

@@ -193,7 +193,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-4-sts-analysis.ipynb

@@ -183,7 +183,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] matplotlib japanize-matplotlib"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-4-sts-finetuning.ipynb

@@ -193,7 +193,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib"
       ]
     },
     {

chapter05/5-5-sentiment-analysis-finetuning-LoRA-wrime.ipynb

@@ -199,7 +199,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib peft"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib peft"
       ]
     },
     {

chapter05/5-5-sentiment-analysis-finetuning-LoRA.ipynb

@@ -199,7 +199,7 @@
         }
       ],
       "source": [
-        "!pip install transformers[ja,torch] 'datasets<4.0.0' matplotlib japanize-matplotlib peft"
+        "!pip install 'transformers[ja,torch]<4.41.0'  'datasets<4.0.0' matplotlib japanize-matplotlib peft"
       ]
     },
     {

chapter06/6-named-entity-recognition.ipynb

@@ -169,7 +169,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] spacy-alignments seqeval"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  spacy-alignments seqeval"
       ]
     },
     {

chapter07/7-summarization-generation.ipynb

@@ -173,7 +173,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' transformers[ja,torch] sentencepiece japanize-matplotlib"
+        "!pip install 'datasets<4.0.0' 'transformers[ja,torch]<4.41.0'  sentencepiece japanize-matplotlib"
       ]
     },
     {

chapter08/8-3-simcse-training.ipynb

@@ -8738,7 +8738,7 @@
       ],
       "source": [
         "# 必要なパッケージをインストールする\n",
-        "!pip install 'datasets<4.0.0' scipy transformers[ja,torch]"
+        "!pip install 'datasets<4.0.0' scipy 'transformers[ja,torch]<4.41.0' "
       ]
     },
     {

chapter08/8-4-simcse-faiss.ipynb

@@ -4506,7 +4506,7 @@
     {
       "cell_type": "code",
       "source": [
-        "!pip install 'datasets<4.0.0' faiss-cpu scipy transformers[ja,torch]"
+        "!pip install 'datasets<4.0.0' faiss-cpu scipy 'transformers[ja,torch]<4.41.0' "
       ],
       "metadata": {
         "colab": {

chapter09/9-4-3-bpr-training.ipynb

@@ -165,7 +165,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' torch transformers[ja,torch]"
+        "!pip install 'datasets<4.0.0' torch 'transformers[ja,torch]<4.41.0' "
       ]
     },
     {

chapter09/9-4-4-bpr-embedding.ipynb

@@ -2112,7 +2112,7 @@
     {
       "cell_type": "code",
       "source": [
-        "!pip install 'datasets<4.0.0' faiss-cpu torch transformers[ja,torch]"
+        "!pip install 'datasets<4.0.0' faiss-cpu torch 'transformers[ja,torch]<4.41.0' "
       ],
       "metadata": {
         "colab": {

chapter09/9-5-quiz-chatgpt-plus-bpr.ipynb

@@ -165,7 +165,7 @@
         }
       ],
       "source": [
-        "!pip install 'datasets<4.0.0' openai==0.27 tiktoken transformers[ja] faiss-cpu"
+        "!pip install 'datasets<4.0.0' openai==0.27 tiktoken 'transformers[ja]<4.41.0'  faiss-cpu"
       ]
     },
     {