Hugging Face's logo

kyleinincubated
/
autonlp-abbb-622117836

Text Classification
Transformers
PyTorch
Chinese
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autonlp-abbb-622117836 / README.md
abhishek's picture
abhishek HF staff
Commit From AutoNLP
6591904
preview code
|
raw history blame contribute delete
No virus
1.38 kB
metadata
tags: autonlp
language: zh
widget:
  - text: I love AutoNLP 🤗
datasets:
  - kyleinincubated/autonlp-data-abbb
co2_eq_emissions: 2.22514962526191

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 622117836
  • CO2 Emissions (in grams): 2.22514962526191

Validation Metrics

  • Loss: 1.2368708848953247
  • Accuracy: 0.7973333333333333
  • Macro F1: 0.46009076588978487
  • Micro F1: 0.7973333333333333
  • Weighted F1: 0.7712349116681224
  • Macro Precision: 0.4527155928883903
  • Micro Precision: 0.7973333333333333
  • Weighted Precision: 0.7610710955220162
  • Macro Recall: 0.4947868561369568
  • Micro Recall: 0.7973333333333333
  • Weighted Recall: 0.7973333333333333

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 AutoNLP"}' https://api-inference.huggingface.co/models/kyleinincubated/autonlp-abbb-622117836

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-abbb-622117836", use_auth_token=True)

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

outputs = model(**inputs)