Token Classification
Transformers
TensorBoard
Safetensors
bert
semantic-role-labeling
Generated from Trainer
Instructions to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg") model = AutoModelForTokenClassification.from_pretrained("pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg
This repository is an archival mirror ofdannashao/bert-base-uncased-finetuned-advanced-srl_arg.
Weights and tokenizer are byte‑identical to upstream commit 7e13b4f.
Only the hosting namespace has changed to guarantee long‑term availability for my other ongoing research project.
Maintainer · Pak Kin Lau
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Model tree for pakkinlau/bert-base-uncased-finetuned-advanced-srl_arg
Base model
google-bert/bert-base-uncased