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autotrain-DistilBERT-imdb-1275448780
sasha/autotrain-DistilBERT-imdb-1275448780
autotrain-DistilBERT-imdb-1275448780 is a text classification model from sasha. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1275448780 - CO2 Emissions (in grams): 27.5398
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Aug 18, 2022
- Updated
- Aug 18, 2022
- SHA
- 9e2b0ab0
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1275448780
- CO2 Emissions (in grams): 27.5398
Validation Metrics
- Loss: 0.188
- Accuracy: 0.927
- Precision: 0.938
- Recall: 0.915
- AUC: 0.979
- F1: 0.926
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/sasha/autotrain-DistilBERT-imdb-1275448780
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-DistilBERT-imdb-1275448780", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-DistilBERT-imdb-1275448780", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- unk
- Created
- Aug 18, 2022
- Updated
- Aug 18, 2022