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Movie_review_sentiment_analysis_model
JamesH/Movie_review_sentiment_analysis_model
Movie_review_sentiment_analysis_model is a text classification model from JamesH. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1883864250 - CO2 Emissions (in grams): 6.9919
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Repo size
1.5 GB
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Repo makeup
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.bin738 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 26, 2022
- Updated
- Oct 26, 2022
- SHA
- 932c7d84
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1883864250
- CO2 Emissions (in grams): 6.9919
Validation Metrics
- Loss: 0.175
- Accuracy: 0.950
- Precision: 0.950
- Recall: 0.950
- AUC: 0.986
- F1: 0.950
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/JamesH/autotrain-third-project-1883864250
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("JamesH/autotrain-third-project-1883864250", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("JamesH/autotrain-third-project-1883864250", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 26, 2022
- Updated
- Oct 26, 2022