Instructions to use 23f3004033/deberta-mcq-solver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 23f3004033/deberta-mcq-solver with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("23f3004033/deberta-mcq-solver") model = AutoModelForMultipleChoice.from_pretrained("23f3004033/deberta-mcq-solver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 438 Bytes
29b2a81 d5def31 29b2a81 d5def31 29b2a81 d5def31 29b2a81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "[CLS]",
"cls_token": "[CLS]",
"do_lower_case": false,
"eos_token": "[SEP]",
"is_local": false,
"mask_token": "[MASK]",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"split_by_punct": false,
"tokenizer_class": "DebertaV2Tokenizer",
"unk_id": 3,
"unk_token": "[UNK]",
"vocab_type": "spm"
}
|