Fine-tune datasets

MAGPIE corpus: https://aclanthology.org/2020.lrec-1.35/

Model Trained Using AutoTrain

Problem type: Entity Extraction
Model ID: 1590556166
CO2 Emissions (in grams): 9.2321

Validation Metrics

Loss: 0.137
Accuracy: 0.985
Precision: 0.000
Recall: 0.000
F1: 0.000

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"}' /static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fimranraad%2Fautotrain-magpie-metaphor-xlmr-1590556166

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)

Downloads last month: 4