Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 65215136096
CO2 Emissions (in grams): 4.8307

Validation Metrics

Loss: 0.779
Accuracy: 0.737
Macro F1: 0.144
Micro F1: 0.737
Weighted F1: 0.656
Macro Precision: 0.175
Micro Precision: 0.737
Weighted Precision: 0.650
Macro Recall: 0.154
Micro Recall: 0.737
Weighted Recall: 0.737

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-predictiveoutcomes_transcripts-65215136096

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136096", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MarketingHHM/autotrain-predictiveoutcomes_transcripts-65215136096", use_auth_token=True)

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

outputs = model(**inputs)