YAML Metadata
Error:
"tags" must be an array
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 717221775
- CO2 Emissions (in grams): 5.080390550458655
Validation Metrics
- Loss: 0.35279911756515503
- Accuracy: 0.9269102990033222
- Macro F1: 0.9261839948926327
- Micro F1: 0.9269102990033222
- Weighted F1: 0.9263981751760975
- Macro Precision: 0.9273912049203341
- Micro Precision: 0.9269102990033222
- Weighted Precision: 0.9280084437800646
- Macro Recall: 0.927250645380574
- Micro Recall: 0.9269102990033222
- Weighted Recall: 0.9269102990033222
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/palakagl/autotrain-PersonalAssitant-717221775
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 23
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.