Instructions to use VIOLET21/sentiment-bert-tweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VIOLET21/sentiment-bert-tweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VIOLET21/sentiment-bert-tweet") model = AutoModelForSequenceClassification.from_pretrained("VIOLET21/sentiment-bert-tweet") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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library_name: transformers
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tags:
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# Model Card for Model ID
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library_name: transformers
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tags:
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- sentiment-analysis
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- Bert
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- TextClassification
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license: apache-2.0
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language:
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- id
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base_model:
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- indobenchmark/indobert-base-p1
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pipeline_tag: text-classification
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# Model Card for Model ID
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