Fill-Mask
Transformers
Safetensors
English
modernbert
conflict
political-violence
event-data
political-science
domain-adaptation
long-context
Instructions to use eventdata-utd/ConfliBERT-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eventdata-utd/ConfliBERT-2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eventdata-utd/ConfliBERT-2-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/ConfliBERT-2-base") model = AutoModelForMaskedLM.from_pretrained("eventdata-utd/ConfliBERT-2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from eventdata-utd/ConfliBERT-2-base: direct link, hf CLI and curl.
- Browser
- Download file 484 Bytes
-
https://huggingface.co/eventdata-utd/ConfliBERT-2-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://eventdata-utd/ConfliBERT-2-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/eventdata-utd/ConfliBERT-2-base/resolve/main/tokenizer_config.json
484 Bytes
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "[CLS]", | |
| "is_local": true, | |
| "local_files_only": true, | |
| "mask_token": "[MASK]", | |
| "max_length": null, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 8192, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "[PAD]", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "[UNK]" | |
| } | |