Downloads · 30 days
11
1% of all-time downloads
autonlp-test3-2101787
clem/autonlp-test3-2101787
autonlp-test3-2101787 is a text classification model from clem. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification Urgent/Not Urgent
All-time downloads
918
Public
Repo size
526 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin263 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 29, 2021
- SHA
- 984c2e1f
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Binary Classification Urgent/Not Urgent
Validation Metrics
- Loss: 0.08956164121627808
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- AUC: 1.0
- F1: 1.0
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 AutoNLP"}' https://api-inference.huggingface.co/models/clem/autonlp-test3-2101787
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("clem/autonlp-test3-2101787", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("clem/autonlp-test3-2101787", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Jun 29, 2021