Instructions to use techthiyanes/Bert_Bahasa_Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techthiyanes/Bert_Bahasa_Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="techthiyanes/Bert_Bahasa_Sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("techthiyanes/Bert_Bahasa_Sentiment") model = AutoModelForSequenceClassification.from_pretrained("techthiyanes/Bert_Bahasa_Sentiment") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ac80aa8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2965e350a8687281c36741f60058a9656719fd7f0eaa2cdce865aec67b325376
size 669442110
|