Token Classification
Transformers
PyTorch
TensorBoard
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use ArBert/albert-base-v2-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArBert/albert-base-v2-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArBert/albert-base-v2-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArBert/albert-base-v2-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ArBert/albert-base-v2-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 595f3201a2568de9412c9db390bf71a3f80f79004c419613c3dbc9d924bd756c
- Size of remote file:
- 3.06 kB
- SHA256:
- 80d8b97f6ff137638c87b6a9f9b66c18fbdba9ceb9ddebfdc43aaea4911d6afd
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