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sentiment_analysis
niltonseixas/sentiment_analysis
sentiment_analysis is a text classification model from niltonseixas. Use it when you need a label for a piece of text. It is set up for transformers.
This model aims to demonstrate text classification task through sentiment analysis
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23
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Repo size
526 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023
- SHA
- 6b8c93f0
Try a prompt
Model card
From the Hugging Face model README
Sentiment analysis model
<!-- Provide a quick summary of what the model is/does. -->This model aims to demonstrate text classification task through sentiment analysis
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: [Nilton Seixas]
- Language(s) (NLP): [English]
- License: [More Information Needed]
- Finetuned from model [optional]: [distilbert-base-cased]
Model Sources [optional]
<!-- Provide the basic links for the model. -->- Repository: [niltonseixas/sentiment_analysis]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("niltonseixas/sentiment_analysis_tokenizer")
model = pipeline("text-classification", model="niltonseixas/sentiment_analysis", tokenizer=tokenizer)
model("I'm in love with NLP")
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023