YAML Metadata
Error:
"tags" must be an array
Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 649919112
- CO2 Emissions (in grams): 0.49924480682533606
Validation Metrics
- Loss: 0.49354293942451477
- Accuracy: 0.8064516129032258
- Precision: 0.8181818181818182
- Recall: 0.9
- AUC: 0.8689393939393939
- F1: 0.8571428571428572
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 AutoNLP"}' https://api-inference.huggingface.co/models/msamogh/autonlp-cai-out-of-scope-649919112
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919112", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919112", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 20
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.