Instructions to use Jakobaby/nrnerclg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jakobaby/nrnerclg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Jakobaby/nrnerclg")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Jakobaby/nrnerclg") model = AutoModel.from_pretrained("Jakobaby/nrnerclg") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "sep_token": "</s>", | |
| "cls_token": "<s>", | |
| "unk_token": "<unk>", | |
| "pad_token": "<pad>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "single_word": false, | |
| "lstrip": true, | |
| "rstrip": false, | |
| "normalized": true, | |
| "__type": "AddedToken" | |
| }, | |
| "model_max_length": 512, | |
| "special_tokens_map_file": null, | |
| "full_tokenizer_file": null, | |
| "do_lower_case": false, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "is_split_into_words": true, | |
| "use_fast": true | |
| } | |