Text Classification
Transformers
Safetensors
Indonesian
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use crypter70/IndoBERT-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crypter70/IndoBERT-Sentiment-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crypter70/IndoBERT-Sentiment-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crypter70/IndoBERT-Sentiment-Analysis") model = AutoModelForSequenceClassification.from_pretrained("crypter70/IndoBERT-Sentiment-Analysis") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- name: Accuracy
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type: accuracy
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value: 0.9452380952380952
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.0.dev20230729
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- Datasets 2.14.0
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- Tokenizers 0.15.2
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- name: Accuracy
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type: accuracy
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value: 0.9452380952380952
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language:
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- id
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- en
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widget:
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- text: "Kok gitu sih kelakuannya"
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- example_title: "Example 1"
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.0.dev20230729
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- Datasets 2.14.0
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- Tokenizers 0.15.2
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