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:
- cad5377edba48efd7dc59d8768b364dc9ec36ac4c73b9d9833356c43243a1c99
- Size of remote file:
- 44.4 MB
- SHA256:
- 0f94163b672053a527d1a5e2cdcf5af4c98029f373e8c1da52f54de5e86662f3
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