File size: 1,155 Bytes
c6d32f0 |
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: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- pujaburman30/autotrain-data-hi_ner_xlmr
co2_eq_emissions: 4.365496441173981
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 869827677
- CO2 Emissions (in grams): 4.365496441173981
## Validation Metrics
- Loss: 0.894961416721344
- Accuracy: 0.7411180773249739
- Precision: 0.590625
- Recall: 0.5080645161290323
- F1: 0.546242774566474
## 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/pujaburman30/autotrain-hi_ner_xlmr-869827677
```
Or Python API:
```
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("pujaburman30/autotrain-hi_ner_xlmr-869827677", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("pujaburman30/autotrain-hi_ner_xlmr-869827677", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |