Instructions to use UGARIT/grc-alignment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UGARIT/grc-alignment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UGARIT/grc-alignment")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UGARIT/grc-alignment") model = AutoModelForMaskedLM.from_pretrained("UGARIT/grc-alignment") - Notebooks
- Google Colab
- Kaggle
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "xlm-roberta-base", "tokenizer_class": "XLMRobertaTokenizer", "full_tokenizer_file": "/content/gdrive/MyDrive/ugaBert/xlm-roberta-base-finetuned-full_12M_10epp/tokenizer.json"} |