Instructions to use apperry-ai/fact_extraction_roberta_fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apperry-ai/fact_extraction_roberta_fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apperry-ai/fact_extraction_roberta_fixed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apperry-ai/fact_extraction_roberta_fixed") model = AutoModelForTokenClassification.from_pretrained("apperry-ai/fact_extraction_roberta_fixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from apperry-ai/fact_extraction_roberta_fixed: direct link, hf CLI and curl.
- Browser
- Download file 420 Bytes
-
https://huggingface.co/apperry-ai/fact_extraction_roberta_fixed/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://apperry-ai/fact_extraction_roberta_fixed/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/apperry-ai/fact_extraction_roberta_fixed/resolve/main/tokenizer_config.json
420 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "./roberta_cleen_all_exist_new_0/model_thulje/epoch_1", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |