Instructions to use koheiduck/bert-japanese-finetuned-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koheiduck/bert-japanese-finetuned-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="koheiduck/bert-japanese-finetuned-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("koheiduck/bert-japanese-finetuned-sentiment") model = AutoModelForSequenceClassification.from_pretrained("koheiduck/bert-japanese-finetuned-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("koheiduck/bert-japanese-finetuned-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("koheiduck/bert-japanese-finetuned-sentiment")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="koheiduck/bert-japanese-finetuned-sentiment")