Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use vesteinn/IceBERT-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/IceBERT-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/IceBERT-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT-ner") model = AutoModelForTokenClassification.from_pretrained("vesteinn/IceBERT-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8edc8276404413c296ff1851d6a486c79245233f78c2ec36d8b06dc4dd5cc03d
- Size of remote file:
- 496 MB
- SHA256:
- 8abf7d6ee83c62a072fcdef667a1feb6693097eea417419ddfa8ebdfa8aeabd4
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