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moderate-101-rejection-examiner
MachineLearningLawyer/moderate-101-rejection-examiner
moderate-101-rejection-examiner is a text classification model from MachineLearningLawyer. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 2952885909 - CO2 Emissions (in grams): 3.7523
All-time downloads
512
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Repo size
1.1 GB
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5
Public
Repo makeup
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.bin557 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta
- Access
- Public
- Created
- Jan 20, 2023
- Updated
- Jan 20, 2023
- SHA
- 7904a433
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 2952885909
- CO2 Emissions (in grams): 3.7523
Validation Metrics
- Loss: 0.353
- Accuracy: 0.851
- Precision: 0.598
- Recall: 0.537
- AUC: 0.846
- F1: 0.566
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/Awesome7749/autotrain-patent-101-2952885909
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Awesome7749/autotrain-patent-101-2952885909", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Awesome7749/autotrain-patent-101-2952885909", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- Languages
- en
- Created
- Jan 20, 2023
- Updated
- Jan 20, 2023