Instructions to use hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-GPTSanJapaneseForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 342 Bytes
83bbd0f ff6a41f 83bbd0f | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"bos_token": "<|startoftext|>",
"clean_up_tokenization_spaces": true,
"do_clean_text": false,
"eos_token": "<|endoftext|>",
"model_max_length": 1280,
"pad_token": "<|endoftext|>",
"sep_token": "<|segmenter|>",
"special_tokens_map_file": null,
"tokenizer_class": "GPTSanJapaneseTokenizer",
"unk_token": "<|endoftext|>"
}
|