Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use candra/indobertweet-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use candra/indobertweet-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="candra/indobertweet-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("candra/indobertweet-sentiment") model = AutoModelForSequenceClassification.from_pretrained("candra/indobertweet-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3092d30a2e240116226b4bd20d52dd34da303e55fe3bae0195b40e4089fc5f47
- Size of remote file:
- 3.52 kB
- SHA256:
- 51bde191335b9d6deb6165fd127247201421697a2bfe97c76453d01acf00db10
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