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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 296431a7197b221bc0412e621513fa501d0f5fd5e22b96d195e08fa1f380c6b2
- Size of remote file:
- 442 MB
- SHA256:
- e6c02b3b6114944cbed12f68a4d37b8bd5ded39e48baf148405c2521bcf672e4
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