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entartst
coreychambers/entartst
entartst is a machine learning model from coreychambers. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as openrail.
--- language: english tags: - sentiment-analysis - distilbert ---
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Updated Jun 4, 2023
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At a glance
- License
- openrail
- Access
- Public
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023
- SHA
- ab9e050d
Model card
From the Hugging Face model README
language: english tags:
- sentiment-analysis
- distilbert
Sentiment Analysis with DistilBert
This model is a fine-tuned version of DistilBert for sentiment analysis on the IMDB dataset.
How the model was trained
This model was trained using the Hugging Face Transformers library. It was trained for 1 epoch on the IMDB dataset, with a batch size of 4 and a learning rate of 5e-5.
How to use
You can use this model for sentiment analysis. Here's an example of how to do this in Python:
from transformers import pipeline
# Load the model
classifier = pipeline('sentiment-analysis', model='your-model-name')
# Classify some text
result = classifier("I love this movie!")[0]
print(f"label: {result['label']}, with score: {result['score']:.4f}")
- License
- openrail
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023