Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use raulgdp/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raulgdp/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("raulgdp/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eda25c5d53b510951b8c7ed46895613d74b429cfbc534af862c953d9b77ad45c
- Size of remote file:
- 403 MB
- SHA256:
- dd1e051dc6d9ebdab0d9138cec58446548e2b3417dd74e9f59376761c975acfe
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