Instructions to use tner/roberta-large-ttc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-ttc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-ttc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-ttc") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-ttc") - Notebooks
- Google Colab
- Kaggle
| {"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>", "model_max_length": 512, "name_or_path": "roberta-large-ttc", "special_tokens_map_file": "tner_ckpt/ttc_roberta_large/model_hyypuo/epoch_5/special_tokens_map.json", "trim_offsets": true, "tokenizer_class": "RobertaTokenizer"} |