Downloads · 30 days
5
13% of all-time downloads
autotrain-l_term_98-95286146337
maxzancanaro/autotrain-l_term_98-95286146337
autotrain-l_term_98-95286146337 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: 95286146337 - CO2 Emissions (in grams): 0.0196
All-time downloads
38
Public
Parameters
111M
888 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: 95286146337
- CO2 Emissions (in grams): 0.0196
Validation Metrics
- Loss: 0.010
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000
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-l_term_98-95286146337
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("maxzancanaro/autotrain-l_term_98-95286146337", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("maxzancanaro/autotrain-l_term_98-95286146337", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Languages
- unk
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023