Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use vesteinn/IceBERT-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/IceBERT-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/IceBERT-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("vesteinn/IceBERT-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf36c533fba7e9de5a39fcf4264662e137f6b1905bf7217620bf050a3e4b0f22
- Size of remote file:
- 496 MB
- SHA256:
- 75ba7c8f62e573f4c62cf40805c4994ff1505485f1aae7ebc0156dda74ad92b3
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