Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 0.0217
Validation Metrics
- Loss: 0.285
- Accuracy: 0.924
- Macro F1: 0.922
- Micro F1: 0.924
- Weighted F1: 0.926
- Macro Precision: 0.950
- Micro Precision: 0.924
- Weighted Precision: 0.932
- Macro Recall: 0.903
- Micro Recall: 0.924
- Weighted Recall: 0.924
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/Johnsmith382234/autotrain-message-classifier-2136768960
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("masonbarnes/discord-message-classifier", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("masonbarnes/discord-message-classifier", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Downloads last month
- 20
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.