Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use roscazo/bsc-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/bsc-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/bsc-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/bsc-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("roscazo/bsc-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8615cf3a1ff6cc45185153e76e51687a2771b2c4c8843397d96d9394f64d4856
- Size of remote file:
- 496 MB
- SHA256:
- ef721a955c0c33d48dd1f96e7edebb061ee043d5a24e00a8dbd7d4fe5f9f99e0
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