# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/bert-wrime-base")
model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/bert-wrime-base")Quick Links
wrime-sentimentデータセットをbertベースのモデルでfinetuningしたもの
- ベースモデル：cl-tohoku/bert-base-japanese-whole-word-masking
- データセット：llm-book/wrime-sentiment
- 学習率スケジュールタイプ(lr_scheduler_type): constant
- 学習率(learning rate): 2e-5
- 勾配累積ステップ(gradient_accumulation_steps): なし
- 正則化(weight_decay): なし
- Epoch: 100
- EarlyStopping: early_stopping_patience=3
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/bert-wrime-base")