Instructions to use paulhindemith/test-zeroshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulhindemith/test-zeroshot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="paulhindemith/test-zeroshot")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulhindemith/test-zeroshot", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "do_subword_tokenize": true, | |
| "do_word_tokenize": true, | |
| "jumanpp_kwargs": null, | |
| "mask_token": "[MASK]", | |
| "mecab_kwargs": null, | |
| "model_max_length": 512, | |
| "name_or_path": "cl-tohoku/bert-base-japanese", | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": null, | |
| "subword_tokenizer_type": "wordpiece", | |
| "sudachi_kwargs": null, | |
| "tokenizer_class": "BertJapaneseTokenizer", | |
| "unk_token": "[UNK]", | |
| "word_tokenizer_type": "mecab" | |
| } | |