Instructions to use lewtun/autotrain-acronym-identification-7324788 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/autotrain-acronym-identification-7324788 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lewtun/autotrain-acronym-identification-7324788")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788") model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- lewtun/autotrain-data-acronym-identification
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- acronym_identification
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co2_eq_emissions: 10.435358044493652
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---
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# Model Trained Using AutoTrain
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- lewtun/autotrain-data-acronym-identification
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- acronym_identification
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co2_eq_emissions: 10.435358044493652
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model-index:
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- name: autotrain-demo
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: acronym_identification
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type: acronym_identification
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9708090976211485
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---
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# Model Trained Using AutoTrain
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