Token Classification
Transformers
PyTorch
Safetensors
Icelandic
roberta
named-entity-recognition
ner
old-icelandic
medieval-icelandic
historical-nlp
icelandic
old-norse
medieval-nlp
medieval-scandinavian
old-scandinavian
digital-humanities
Instructions to use Riksarkivet/oldbertur-diplomatic-old-icelandic-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riksarkivet/oldbertur-diplomatic-old-icelandic-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Riksarkivet/oldbertur-diplomatic-old-icelandic-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Riksarkivet/oldbertur-diplomatic-old-icelandic-ner") model = AutoModelForTokenClassification.from_pretrained("Riksarkivet/oldbertur-diplomatic-old-icelandic-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert
This new file is equivalent to pytorch_model.bin but safe in the sense that
no arbitrary code can be put into it.
These files also happen to load much faster than their pytorch counterpart:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
The widgets on your model page will run using this model even if this is not merged
making sure the file actually works.
If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions
Feel free to ignore this PR.
Gabriel changed pull request status to merged