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
Download training_args.bin from vesteinn/IceBERT-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/vesteinn/IceBERT-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://vesteinn/IceBERT-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vesteinn/IceBERT-ner/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 5f5ad63ad1798d771f09a78051859ebc7d81dc87b24a2b7491bb2efabc052964
- Size of remote file:
- 2.86 kB
- SHA256:
- 034a6a7dd1b7eb4685d6644fe1381dd6297da48e0ce6561391b0c5f20f78032d
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