Downloads · 30 days
8
2% of all-time downloads
autotrain-contract_risk_identification_3-3017886667
samaresh55/autotrain-contract_risk_identification_3-3017886667
autotrain-contract_risk_identification_3-3017886667 is a text classification model from samaresh55. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 3017886667 - CO2 Emissions (in grams): 1.5049
All-time downloads
480
Public
Repo size
877 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023
- SHA
- d1e39420
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3017886667
- CO2 Emissions (in grams): 1.5049
Validation Metrics
- Loss: 0.465
- Accuracy: 0.823
- Precision: 0.834
- Recall: 0.839
- AUC: 0.893
- F1: 0.836
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/samaresh55/autotrain-contract_risk_identification_3-3017886667
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("samaresh55/autotrain-contract_risk_identification_3-3017886667", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("samaresh55/autotrain-contract_risk_identification_3-3017886667", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Jan 23, 2023
- Updated
- Jan 23, 2023