Text Classification
Transformers
Safetensors
Indonesian
bert
sentiment-analysis
emotion-classification
indonesian
indobertweet
text-embeddings-inference
Instructions to use galennolan/indobertweet-indoemotion-5class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galennolan/indobertweet-indoemotion-5class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="galennolan/indobertweet-indoemotion-5class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("galennolan/indobertweet-indoemotion-5class") model = AutoModelForSequenceClassification.from_pretrained("galennolan/indobertweet-indoemotion-5class") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec70fd9367665263668081e921f64a172070dd76d0ce6c8a99c79008df17ba7d
- Size of remote file:
- 442 MB
- SHA256:
- bfd4dff2be3a932baf815e87ef85fa59da8848f704aa4c78031c1a19c005c7ea
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