Downloads · 30 days
7
13% of all-time downloads
autotrain-BERTBase-imdb-1275748794
sasha/autotrain-BERTBase-imdb-1275748794
autotrain-BERTBase-imdb-1275748794 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: 1275748794 - CO2 Emissions (in grams): 57.5472
All-time downloads
56
Public
Repo size
876 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 18, 2022
- Updated
- Aug 18, 2022
- SHA
- 0b85191f
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1275748794
- CO2 Emissions (in grams): 57.5472
Validation Metrics
- Loss: 0.174
- Accuracy: 0.936
- Precision: 0.924
- Recall: 0.949
- AUC: 0.982
- F1: 0.936
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-BERTBase-imdb-1275748794
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-BERTBase-imdb-1275748794", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-BERTBase-imdb-1275748794", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Aug 18, 2022
- Updated
- Aug 18, 2022