Instructions to use Superd4/lasttest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Superd4/lasttest with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Superd4/lasttest")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Superd4/lasttest") model = AutoModelForImageTextToText.from_pretrained("Superd4/lasttest") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "do_lower_case": false, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "character", "never_split": null, "mecab_kwargs": {"mecab_dic": "unidic_lite"}, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "cl-tohoku/bert-base-japanese-char-v2", "tokenizer_class": "BertJapaneseTokenizer"} |