Instructions to use hsuvaskakoty/wikitide_roberta-base_boot_seed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsuvaskakoty/wikitide_roberta-base_boot_seed2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hsuvaskakoty/wikitide_roberta-base_boot_seed2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hsuvaskakoty/wikitide_roberta-base_boot_seed2") model = AutoModelForSequenceClassification.from_pretrained("hsuvaskakoty/wikitide_roberta-base_boot_seed2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<y>", | |
| "</y>", | |
| "<t>", | |
| "</t>" | |
| ], | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |