Token Classification
Transformers
Safetensors
English
roberta
sequence-labeling
political-science
social-groups
parliamentary-debates
Instructions to use maxwlnd/roberta_group_mention_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxwlnd/roberta_group_mention_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="maxwlnd/roberta_group_mention_detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("maxwlnd/roberta_group_mention_detector") model = AutoModelForTokenClassification.from_pretrained("maxwlnd/roberta_group_mention_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis 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.5a2c64d -
changed vocab size
MaximilianWeiland312efd9 -
changed bin model file name
MaximilianWeiland9228645 -
Rename model weights to pytorch_model.bin
MaximilianWeiland57a4f8a -
Add RoBERTa token classification model
MaximilianWeilandb7488a4 -
initial commit
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