| | --- |
| | tags: autotrain |
| | language: en |
| | widget: |
| | - text: "I love AutoTrain 🤗" |
| | datasets: |
| | - palakagl/autotrain-data-PersonalAssitant |
| | co2_eq_emissions: 5.080390550458655 |
| | --- |
| | |
| | # Model Trained Using AutoTrain |
| |
|
| | - Problem type: Multi-class Classification |
| | - Model ID: 717221775 |
| | - CO2 Emissions (in grams): 5.080390550458655 |
| |
|
| | ## Validation Metrics |
| |
|
| | - Loss: 0.35279911756515503 |
| | - Accuracy: 0.9269102990033222 |
| | - Macro F1: 0.9261839948926327 |
| | - Micro F1: 0.9269102990033222 |
| | - Weighted F1: 0.9263981751760975 |
| | - Macro Precision: 0.9273912049203341 |
| | - Micro Precision: 0.9269102990033222 |
| | - Weighted Precision: 0.9280084437800646 |
| | - Macro Recall: 0.927250645380574 |
| | - Micro Recall: 0.9269102990033222 |
| | - Weighted Recall: 0.9269102990033222 |
| |
|
| |
|
| | ## 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-717221775 |
| | ``` |
| |
|
| | Or Python API: |
| |
|
| | ``` |
| | from transformers import AutoModelForSequenceClassification, AutoTokenizer |
| | |
| | model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", use_auth_token=True) |
| | |
| | tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221775", use_auth_token=True) |
| | |
| | inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
| | |
| | outputs = model(**inputs) |
| | ``` |
