Text Classification
Transformers
TensorFlow
English
distilbert
text classification
transformer
sentiment analysis
TensorFlow
text-embeddings-inference
Instructions to use dancingninjas/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dancingninjas/sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dancingninjas/sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dancingninjas/sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("dancingninjas/sentiment-model") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 01f5077
Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- imdb
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language:
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- en
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pipeline_tag: text-classification
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tags:
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- text classification
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- transformer
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- sentiment analysis
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- distilbert
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- TensorFlow
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