File size: 1,149 Bytes
ac7d16f |
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 |
---
tags:
- autotrain
- text-regression
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- MichaelS91/autotrain-data-hub_testing
co2_eq_emissions:
emissions: 1.5911364056652006
---
# Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 75008139803
- CO2 Emissions (in grams): 1.5911
## Validation Metrics
- Loss: 1.889
- MSE: 1.889
- MAE: 1.094
- R2: 0.221
- RMSE: 1.374
- Explained Variance: 0.242
## 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/MichaelS91/autotrain-hub_testing-75008139803
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |