| --- |
| tags: autotrain |
| language: en |
| widget: |
| - text: "I love AutoTrain 🤗" |
| datasets: |
| - palakagl/autotrain-data-PersonalAssitant |
| co2_eq_emissions: 7.025108874009706 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Multi-class Classification |
| - Model ID: 717221787 |
| - CO2 Emissions (in grams): 7.025108874009706 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 0.35467109084129333 |
| - Accuracy: 0.9186046511627907 |
| - Macro F1: 0.9202890631142154 |
| - Micro F1: 0.9186046511627907 |
| - Weighted F1: 0.9185859051606837 |
| - Macro Precision: 0.921802482563032 |
| - Micro Precision: 0.9186046511627907 |
| - Weighted Precision: 0.9210238644296779 |
| - Macro Recall: 0.9218155764486292 |
| - Micro Recall: 0.9186046511627907 |
| - Weighted Recall: 0.9186046511627907 |
|
|
|
|
| ## 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/palakagl/autotrain-PersonalAssitant-717221787 |
| ``` |
|
|
| Or Python API: |
|
|
| ``` |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| |
| model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True) |
| |
| tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True) |
| |
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| |
| outputs = model(**inputs) |
| ``` |
