|
--- |
|
tags: autotrain |
|
language: en |
|
widget: |
|
- text: "I love AutoTrain 🤗" |
|
datasets: |
|
- mbyanfei/autotrain-data-amazon-shoe-reviews-classification |
|
co2_eq_emissions: 27.982443349742287 |
|
--- |
|
|
|
# Model Trained Using AutoTrain |
|
|
|
- Problem type: Multi-class Classification |
|
- Model ID: 1104340243 |
|
- CO2 Emissions (in grams): 27.982443349742287 |
|
|
|
## Validation Metrics |
|
|
|
- Loss: 0.9584922790527344 |
|
- Accuracy: 0.5843 |
|
- Macro F1: 0.5801009597024507 |
|
- Micro F1: 0.5843 |
|
- Weighted F1: 0.5792137097243996 |
|
- Macro Precision: 0.5897236028586046 |
|
- Micro Precision: 0.5843 |
|
- Weighted Precision: 0.5896188517045103 |
|
- Macro Recall: 0.5857983081566331 |
|
- Micro Recall: 0.5843 |
|
- Weighted Recall: 0.5843 |
|
|
|
|
|
## 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/mbyanfei/autotrain-amazon-shoe-reviews-classification-1104340243 |
|
``` |
|
|
|
Or Python API: |
|
|
|
``` |
|
from transformers import AutoModelForSequenceClassification, AutoTokenizer |
|
|
|
model = AutoModelForSequenceClassification.from_pretrained("mbyanfei/autotrain-amazon-shoe-reviews-classification-1104340243", use_auth_token=True) |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("mbyanfei/autotrain-amazon-shoe-reviews-classification-1104340243", use_auth_token=True) |
|
|
|
inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
|
|
|
outputs = model(**inputs) |
|
``` |
