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autonlp-kaggledays-625717986
Someshfengde/autonlp-kaggledays-625717986
autonlp-kaggledays-625717986 is a text classification model from Someshfengde. 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: 625717986 - CO2 Emissions (in grams): 68.73074770596023
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Repo size
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 10, 2022
- Updated
- Mar 10, 2022
- SHA
- 7f852a46
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 625717986
- CO2 Emissions (in grams): 68.73074770596023
Validation Metrics
- Loss: 0.859463632106781
- Accuracy: 0.6118427330852181
- Macro F1: 0.6112554383858383
- Micro F1: 0.6118427330852181
- Weighted F1: 0.6112706859556324
- Macro Precision: 0.6121119616189625
- Micro Precision: 0.6118427330852181
- Weighted Precision: 0.6121068719118146
- Macro Recall: 0.6118067898609261
- Micro Recall: 0.6118427330852181
- Weighted Recall: 0.6118427330852181
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/Someshfengde/autonlp-kaggledays-625717986
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 10, 2022
- Updated
- Mar 10, 2022