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autotrain-dalio-rm-2249071722
AlekseyKorshuk/autotrain-dalio-rm-2249071722
autotrain-dalio-rm-2249071722 is a text classification model from AlekseyKorshuk. 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: 2249071722 - CO2 Emissions (in grams): 1.2073
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Nov 26, 2022
- Updated
- Nov 26, 2022
- SHA
- fef72794
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2249071722
- CO2 Emissions (in grams): 1.2073
Validation Metrics
- Loss: 1.213
- Accuracy: 0.433
- Macro F1: 0.284
- Micro F1: 0.433
- Weighted F1: 0.395
- Macro Precision: 0.290
- Micro Precision: 0.433
- Weighted Precision: 0.376
- Macro Recall: 0.298
- Micro Recall: 0.433
- Weighted Recall: 0.433
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/AlekseyKorshuk/autotrain-dalio-rm-2249071722
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("AlekseyKorshuk/autotrain-dalio-rm-2249071722", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("AlekseyKorshuk/autotrain-dalio-rm-2249071722", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Languages
- en
- Created
- Nov 26, 2022
- Updated
- Nov 26, 2022