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--- |
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tags: |
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- autotrain |
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- token-classification |
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language: |
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- unk |
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widget: |
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- text: "I’m sorry but I just can’t seem to wrap my head around it. - I’m sorry but I just can’t seem to understand." |
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- text: "Why are you so bent out of shape? - Why are you so upset?" |
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- text: "Listen, it is easier said than done, many people lack commitment." |
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datasets: |
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- imranraad/autotrain-data-magpie-metaphor-xlmr |
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co2_eq_emissions: |
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emissions: 9.232131148683266 |
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--- |
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# Fine-tune datasets |
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- MAGPIE corpus: https://aclanthology.org/2020.lrec-1.35/ |
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# Model Trained Using AutoTrain |
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- Problem type: Entity Extraction |
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- Model ID: 1590556166 |
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- CO2 Emissions (in grams): 9.2321 |
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## Validation Metrics |
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- Loss: 0.137 |
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- Accuracy: 0.985 |
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- Precision: 0.000 |
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- Recall: 0.000 |
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- F1: 0.000 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ 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 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForTokenClassification, AutoTokenizer |
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model = AutoModelForTokenClassification.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("imranraad/autotrain-magpie-metaphor-xlmr-1590556166", use_auth_token=True) |
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inputs = tokenizer("I love AutoTrain", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
