Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 748922872
CO2 Emissions (in grams): 31.11935827749309

Validation Metrics

Loss: 0.17039568722248077
Accuracy: 0.93625
Macro F1: 0.9075787460059076
Micro F1: 0.93625
Weighted F1: 0.9371621543264445
Macro Precision: 0.8945117620407296
Micro Precision: 0.93625
Weighted Precision: 0.9433589433926076
Macro Recall: 0.9323604226458176
Micro Recall: 0.93625
Weighted Recall: 0.93625

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/crcb/autotrain-go_emo-748922872

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-go_emo-748922872", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-go_emo-748922872", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)