Instructions to use KapitalK/bart-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KapitalK/bart-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/bart-base") model = PeftModel.from_pretrained(base_model, "KapitalK/bart-test") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "facebook/bart-base", | |
| "inference_mode": true, | |
| "num_attention_heads": 12, | |
| "num_layers": 6, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 8, | |
| "peft_type": "PROMPT_TUNING", | |
| "prompt_tuning_init": "TEXT", | |
| "prompt_tuning_init_text": "Classify if the tweet is a complaint or not", | |
| "revision": null, | |
| "task_type": "CAUSAL_LM", | |
| "token_dim": 768, | |
| "tokenizer_kwargs": null, | |
| "tokenizer_name_or_path": "facebook/bart-base" | |
| } |