Token Classification
Transformers
PyTorch
English
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use Jorgeutd/albert-base-v2-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jorgeutd/albert-base-v2-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jorgeutd/albert-base-v2-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jorgeutd/albert-base-v2-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Jorgeutd/albert-base-v2-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Commit ·
3a56115
1
Parent(s): bd60314
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (71f536c36516b33e705e75e10b8b14afdc9511de)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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language: en
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widget:
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- text: "My name is Scott and I live in Columbus."
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- text: "Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne."
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datasets:
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- conll2003
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metrics:
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- recall
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- f1
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- accuracy
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model-index:
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- name: albert-base-v2-finetuned-ner
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: conll2003
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type: conll2003
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args: conll2003
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metrics:
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type: precision
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value: 0.9252213840603477
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value: 0.9329732113328189
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value: 0.9290811285541773
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value: 0.9848205157332728
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
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language: en
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- conll2003
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metrics:
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- recall
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- f1
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- accuracy
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widget:
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- text: My name is Scott and I live in Columbus.
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- text: Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne.
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base_model: albert-base-v2
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model-index:
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- name: albert-base-v2-finetuned-ner
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results:
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- task:
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type: token-classification
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name: Token Classification
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dataset:
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name: conll2003
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type: conll2003
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args: conll2003
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metrics:
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- type: precision
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value: 0.9252213840603477
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name: Precision
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- type: recall
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value: 0.9329732113328189
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name: Recall
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- type: f1
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value: 0.9290811285541773
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name: F1
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- type: accuracy
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value: 0.9848205157332728
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name: Accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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