File size: 1,330 Bytes
93daf48 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- badalsahani/autotrain-data-pdf-classification
co2_eq_emissions:
emissions: 6.061459826922492
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 3447993987
- CO2 Emissions (in grams): 6.0615
## Validation Metrics
- Loss: 0.005
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
## 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/badalsahani/autotrain-pdf-classification-3447993987
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("badalsahani/autotrain-pdf-classification-3447993987", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("badalsahani/autotrain-pdf-classification-3447993987", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |