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mimuchacho0_o
EduardoCam/mimuchacho0_o
mimuchacho0_o is a text classification model from EduardoCam. 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: 97847147059 - CO2 Emissions (in grams): 0.4115
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Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 97847147059
- CO2 Emissions (in grams): 0.4115
Validation Metrics
- Loss: 0.580
- Accuracy: 0.811
- Macro F1: 0.810
- Micro F1: 0.811
- Weighted F1: 0.814
- Macro Precision: 0.856
- Micro Precision: 0.811
- Weighted Precision: 0.847
- Macro Recall: 0.817
- Micro Recall: 0.811
- Weighted Recall: 0.811
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/EduardoCam/autotrain-brisnko-97847147059
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("EduardoCam/autotrain-brisnko-97847147059", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("EduardoCam/autotrain-brisnko-97847147059", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023