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
- Xet hash:
- 5d81715af50b6c7e14731fd2a2b05016106f984fd78c12ae08131d5dc6cc6b49
- Size of remote file:
- 4.35 kB
- SHA256:
- b622f7b15eb139329ff941183290f0b8b14f25bb267f8401aeb78d90791a2994
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