Downloads · 30 days
7
2% of all-time downloads
autotrain-ethos-sentiments-1790262082
pachi107/autotrain-ethos-sentiments-1790262082
autotrain-ethos-sentiments-1790262082 is a text classification model from pachi107. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 1790262082 - CO2 Emissions (in grams): 0.8182
All-time downloads
381
Public
Repo size
867 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 17, 2022
- Updated
- Oct 17, 2022
- SHA
- 539cae0e
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1790262082
- CO2 Emissions (in grams): 0.8182
Validation Metrics
- Loss: 0.565
- Accuracy: 0.775
- Precision: 0.783
- Recall: 0.832
- AUC: 0.823
- F1: 0.807
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/pachi107/autotrain-ethos-sentiments-1790262082
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("pachi107/autotrain-ethos-sentiments-1790262082", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("pachi107/autotrain-ethos-sentiments-1790262082", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 17, 2022
- Updated
- Oct 17, 2022