Instructions to use launch/POLITICS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use launch/POLITICS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="launch/POLITICS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("launch/POLITICS") model = AutoModelForMaskedLM.from_pretrained("launch/POLITICS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from launch/POLITICS: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
-
https://huggingface.co/launch/POLITICS/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://launch/POLITICS/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/launch/POLITICS/resolve/main/tokenizer_config.json
349 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base", "tokenizer_class": "RobertaTokenizer"} |