Downloads · 30 days
4
10% of all-time downloads
autotrain-amendment_207-93751145900
maxzancanaro/autotrain-amendment_207-93751145900
autotrain-amendment_207-93751145900 is a text classification model from maxzancanaro. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 93751145900 - CO2 Emissions (in grams): 0.2410
All-time downloads
39
Public
Parameters
111M
886 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin443 MB · 50%
Parameter types
How the weights are stored.
F32111M · 100%
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 93751145900
- CO2 Emissions (in grams): 0.2410
Validation Metrics
- Loss: 0.507
- Accuracy: 0.762
- Precision: 0.833
- Recall: 0.682
- AUC: 0.866
- F1: 0.750
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/maxzancanaro/autotrain-amendment_207-93751145900
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("maxzancanaro/autotrain-amendment_207-93751145900", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("maxzancanaro/autotrain-amendment_207-93751145900", 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
- Oct 8, 2023
- Updated
- Oct 8, 2023