Instructions to use kimbk/test_bart_r3f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kimbk/test_bart_r3f with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kimbk/test_bart_r3f") model = AutoModelForSeq2SeqLM.from_pretrained("kimbk/test_bart_r3f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 605 Bytes
8d2be14 | 1 | {"bos_token": "[BOS]", "eos_token": "[EOS]", "cls_token": "[BOS]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "mask_token": "[MASK]", "additional_special_tokens": ["#@μ£Όμ#", "#@μ΄λͺ¨ν°μ½#", "#@μ΄λ¦#", "#@URL#", "#@μμ#", "#@κΈ°ν#", "#@μ λ²#", "#@κ³μ #", "#@url#", "#@λ²νΈ#", "#@κΈμ΅#", "#@μ μ#", "#@μ₯μ#", "#@μμ€ν
#μ¬μ§#", "#@μμ€ν
#λμμ#", "#@μμ€ν
#κΈ°ν#", "#@μμ€ν
#κ²μ#", "#@μμ€ν
#μ§λ#", "#@μμ€ν
#μμ #", "#@μμ€ν
#νμΌ#", "#@μμ€ν
#μ‘κΈ#", "#@μμ€ν
#"], "tokenizer_class": "PreTrainedTokenizerFast"} |