YAML Metadata
Error:
"tags" must be an array
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 752423172
- CO2 Emissions (in grams): 313.3534743349287
Validation Metrics
- Loss: 0.6064515113830566
- Accuracy: 0.805171240644137
- Macro F1: 0.7253473044054398
- Micro F1: 0.805171240644137
- Weighted F1: 0.7970679970423672
- Macro Precision: 0.7477679873153633
- Micro Precision: 0.805171240644137
- Weighted Precision: 0.7966263131173029
- Macro Recall: 0.7143231260991618
- Micro Recall: 0.805171240644137
- Weighted Recall: 0.805171240644137
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/rabiaqayyum/autotrain-mental-health-analysis-752423172
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("rabiaqayyum/autotrain-mental-health-analysis-752423172", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("rabiaqayyum/autotrain-mental-health-analysis-752423172", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 170
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.