Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 41629107126
- CO2 Emissions (in grams): 0.7070
Validation Metrics
- Loss: 0.653
- Accuracy: 0.864
- Macro F1: 0.840
- Micro F1: 0.864
- Weighted F1: 0.861
- Macro Precision: 0.874
- Micro Precision: 0.864
- Weighted Precision: 0.870
- Macro Recall: 0.826
- Micro Recall: 0.864
- Weighted Recall: 0.864
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/guriko/autotrain-cv-sentiment-41629107126
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("guriko/autotrain-cv-sentiment-41629107126", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("guriko/autotrain-cv-sentiment-41629107126", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 3
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.