File size: 1,054 Bytes
4d33662 |
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 |
---
tags:
- text-classification
language:
- unk
co2_eq_emissions:
emissions: 3.8308885800495522
---
## Validation Metrics
- Loss: 0.073
- Accuracy: 0.980
- Macro F1: 0.981
- Micro F1: 0.980
- Weighted F1: 0.980
- Macro Precision: 0.981
- Micro Precision: 0.980
- Weighted Precision: 0.980
- Macro Recall: 0.982
- Micro Recall: 0.980
- Weighted Recall: 0.980
## 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/asaderu/autotrain-sunnishia_2-3090387920
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("asaderu/autotrain-sunnishia_2-3090387920", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("asaderu/autotrain-sunnishia_2-3090387920", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |