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autonlp-kpmg_nlp-18833547
adelgasmi/autonlp-kpmg_nlp-18833547
autonlp-kpmg_nlp-18833547 is a text classification model from adelgasmi. 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: 18833547 - CO2 Emissions (in grams): 64.58945483765274
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 15, 2021
- SHA
- 87c288db
Try a prompt
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 18833547
- CO2 Emissions (in grams): 64.58945483765274
Validation Metrics
- Loss: 0.14247722923755646
- Accuracy: 0.9586074193404036
- Macro F1: 0.9468339778730883
- Micro F1: 0.9586074193404036
- Weighted F1: 0.9585551117678807
- Macro Precision: 0.9445436604001405
- Micro Precision: 0.9586074193404036
- Weighted Precision: 0.9591405429662925
- Macro Recall: 0.9499427161888565
- Micro Recall: 0.9586074193404036
- Weighted Recall: 0.9586074193404036
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/adelgasmi/autonlp-kpmg_nlp-18833547
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("adelgasmi/autonlp-kpmg_nlp-18833547", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("adelgasmi/autonlp-kpmg_nlp-18833547", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- Mar 2, 2022
- Updated
- Oct 15, 2021