Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use candra/indobertweet-sentiment2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use candra/indobertweet-sentiment2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="candra/indobertweet-sentiment2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("candra/indobertweet-sentiment2") model = AutoModelForSequenceClassification.from_pretrained("candra/indobertweet-sentiment2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc4c581d3fd7946041a5497f7833b0b428bf3c205e6933d4712082f1c7956397
- Size of remote file:
- 3.52 kB
- SHA256:
- 1a7c76dddd9b57b0e695c1f99ef68707e2ec0a26c9432573a9f785495355adc5
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