Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 65459136117
CO2 Emissions (in grams): 1.8448

Validation Metrics

Loss: 1.543
Accuracy: 0.409
Macro F1: 0.218
Micro F1: 0.409
Weighted F1: 0.340
Macro Precision: 0.194
Micro Precision: 0.409
Weighted Precision: 0.299
Macro Recall: 0.260
Micro Recall: 0.409
Weighted Recall: 0.409

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/MarketingHHM/autotrain-predictiveoutcomestranscripts-65459136117

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MarketingHHM/autotrain-predictiveoutcomestranscripts-65459136117", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MarketingHHM/autotrain-predictiveoutcomestranscripts-65459136117", use_auth_token=True)

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

outputs = model(**inputs)