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magpie-idioms-xlmroberta
imranraad/magpie-idioms-xlmroberta
magpie-idioms-xlmroberta is a token classification model from imranraad. Use it when you need labels on individual words, such as names. It is set up for transformers.
- MAGPIE corpus: https://aclanthology.org/2020.lrec-1.35/
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At a glance
- Task
- Token Classification
- Library
- transformers
- Access
- Public
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022
- SHA
- 6475ca6a
Try a prompt
Model card
From the Hugging Face model README
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"}' https://api-inference.huggingface.co/models/imranraad/autotrain-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)
- Task
- Token Classification
- Library
- transformers
- Languages
- unk
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022