Text Classification
Transformers
PyTorch
English
distilbert
fill-mask
legal
PyTorch
sentiment-analysis
text-embeddings-inference
Instructions to use ajinathgh/sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajinathgh/sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ajinathgh/sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ajinathgh/sentiment_analysis") model = AutoModelForMaskedLM.from_pretrained("ajinathgh/sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
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language: en
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- text-classification
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- sentiment-analysis
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license: mit
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pipeline_tag: text-classification
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tags:
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- legal
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# Simple Text Classifier
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license: mit
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datasets:
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pipeline_tag: text-classification
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tags:
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- legal
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- pytorch
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- text-classification
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- sentiment-analysis
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# Simple Text Classifier
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