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roberta-frame-CP
davis901/roberta-frame-CP
roberta-frame-CP is a text classification model from davis901. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 46471115134 - CO2 Emissions (in grams): 3.3133
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Repo size
2.8 GB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023
- SHA
- e358ad02
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 46471115134
- CO2 Emissions (in grams): 3.3133
Validation Metrics
- Loss: 0.006
- Accuracy: 0.999
- Precision: 0.999
- Recall: 1.000
- AUC: 1.000
- F1: 0.999
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/davis901/autotrain-imdb-textclassification-46471115134
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("davis901/autotrain-imdb-textclassification-46471115134", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("davis901/autotrain-imdb-textclassification-46471115134", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- unk
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023