Instructions to use mr4/bert-base-jp-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mr4/bert-base-jp-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mr4/bert-base-jp-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mr4/bert-base-jp-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("mr4/bert-base-jp-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
85e604d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5837097dd474ddfd4718193c1d9c3df1ad5b7ab33cf0ec92ab033195fe39f18b
size 444904821
|