Downloads · 30 days
7
1% of all-time downloads
carer_new
crcb/carer_new
carer_new is a text classification model from crcb. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 781623992 - CO2 Emissions (in grams): 3.9861818439722594
All-time downloads
590
Public
Repo size
997 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Apr 25, 2022
- Updated
- Apr 25, 2022
- SHA
- 7832ed1f
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 781623992
- CO2 Emissions (in grams): 3.9861818439722594
Validation Metrics
- Loss: 0.1639203429222107
- Accuracy: 0.9389179755671903
- Macro F1: 0.9055551236566716
- Micro F1: 0.9389179755671903
- Weighted F1: 0.9379300009988988
- Macro Precision: 0.9466951148514304
- Micro Precision: 0.9389179755671903
- Weighted Precision: 0.9435523016000105
- Macro Recall: 0.8818551804621082
- Micro Recall: 0.9389179755671903
- Weighted Recall: 0.9389179755671903
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/crcb/autotrain-carer_new-781623992
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-carer_new-781623992", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-carer_new-781623992", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- unk
- Created
- Apr 25, 2022
- Updated
- Apr 25, 2022