Text Generation
PEFT
Safetensors
a3
abstract-keywords
repository-library
research-library
t2_abstract
text2text-generation
Instructions to use PeytonT/abstract-keywords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/abstract-keywords with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "PeytonT/abstract-keywords") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "eos_token": "</s>", | |
| "extra_ids": 100, | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |