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autonlp-savesome-631818261
test1345/autonlp-savesome-631818261
autonlp-savesome-631818261 is a text classification model from test1345. 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: 631818261 - CO2 Emissions (in grams): 5.714250590300453
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 12, 2022
- Updated
- Mar 12, 2022
- SHA
- 6b6859a3
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 631818261
- CO2 Emissions (in grams): 5.714250590300453
Validation Metrics
- Loss: 0.44651690125465393
- Accuracy: 0.8792873051224944
- Macro F1: 0.839261602941426
- Micro F1: 0.8792873051224943
- Weighted F1: 0.8790427387522044
- Macro Precision: 0.8407634723656228
- Micro Precision: 0.8792873051224944
- Weighted Precision: 0.8801219917819031
- Macro Recall: 0.8400328140795883
- Micro Recall: 0.8792873051224944
- Weighted Recall: 0.8792873051224944
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/test1345/autonlp-savesome-631818261
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("test1345/autonlp-savesome-631818261", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("test1345/autonlp-savesome-631818261", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- unk
- Created
- Mar 12, 2022
- Updated
- Mar 12, 2022