Instructions to use pierric/autonlp-my-own-imdb-sentiment-analysis-2131817 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pierric/autonlp-my-own-imdb-sentiment-analysis-2131817 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pierric/autonlp-my-own-imdb-sentiment-analysis-2131817")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817") model = AutoModelForSequenceClassification.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 2131817
Validation Metrics
- Loss: 0.24430708587169647
- Accuracy: 0.9452
- Precision: 0.9303944315545244
- Recall: 0.9624
- AUC: 0.9793824287999999
- F1: 0.946126622099882
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/pierric/autonlp-my-own-imdb-sentiment-analysis-2131817
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("pierric/autonlp-my-own-imdb-sentiment-analysis-2131817", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
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