Instructions to use MICADEE/autonlp-imdb-sentiment-analysis2-7121569 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MICADEE/autonlp-imdb-sentiment-analysis2-7121569 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MICADEE/autonlp-imdb-sentiment-analysis2-7121569")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569") model = AutoModelForSequenceClassification.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569") - Notebooks
- Google Colab
- Kaggle
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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)
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