Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-collapsed-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-collapsed-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-collapsed-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5ad9a8a
1
Parent(s): eafca09
Updated Results
Browse files
README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: HiNER-collapsed-xlm-roberta-base
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results:
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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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tags:
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- generated_from_trainer
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datasets:
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- cfilt/HiNER-collapsed
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: HiNER-collapsed-xlm-roberta-base
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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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type: cfilt/HiNER-collapsed
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name: HiNER Collapsed
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metrics:
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- name: Precision
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type: precision
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value: 0.9137448834064936
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- name: Recall
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type: recall
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value: 0.9296549644788663
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- name: F1
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type: f1
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value: 0.9216312652954473
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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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