Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
imdb
text-embeddings-inference
Instructions to use phanerozoic/BERT-Sentiment-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phanerozoic/BERT-Sentiment-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phanerozoic/BERT-Sentiment-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phanerozoic/BERT-Sentiment-Classifier") model = AutoModelForSequenceClassification.from_pretrained("phanerozoic/BERT-Sentiment-Classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: cc-by-4.0
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language:
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- en
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- **Developed by**: phanerozoic
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- **Model type**: BertForSequenceClassification
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- **Source model**: `bert-base-uncased`
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- **License**: cc-by-4.0
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- **Languages**: English
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## Model Details
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license: cc-by-nc-4.0
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language:
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- en
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tags:
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- **Developed by**: phanerozoic
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- **Model type**: BertForSequenceClassification
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- **Source model**: `bert-base-uncased`
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- **License**: cc-by-nc-4.0
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- **Languages**: English
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## Model Details
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