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:
- 67fe5b8d477d0050cde959605d7d1136ff9834aa25a8b1ba38088e0f60b4e1b6
- Size of remote file:
- 2.86 kB
- SHA256:
- 122272095736339b64b9f8b5ac774b887143c3f3bc77f701b044af224771ee20
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