Downloads · 30 days
6
0% of all-time downloads
autonlp-imdb-sentiment-analysis2-7121569
MICADEE/autonlp-imdb-sentiment-analysis2-7121569
autonlp-imdb-sentiment-analysis2-7121569 is a text classification model from MICADEE. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 7121569
All-time downloads
7.7K
Public
Repo size
526 MB
Likes
1
Trending 1
Repo makeup
Click a slice to open those files.
.bin263 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 7, 2021
- SHA
- bc09038e
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 7121569
Validation Metrics
- Loss: 0.2151782214641571
- Accuracy: 0.9271
- Precision: 0.9469285415796072
- Recall: 0.9051328140603155
- AUC: 0.9804569416956057
- F1: 0.925559072807107
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 AutoNLP"}' https://api-inference.huggingface.co/models/MICADEE/autonlp-imdb-sentiment-analysis2-7121569
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Aug 7, 2021