Instructions to use pendar02/summarizerApp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pendar02/summarizerApp with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("GanjinZero/biobart-base") model = PeftModel.from_pretrained(base_model, "pendar02/summarizerApp") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": ["BioBARTForConditionalGeneration"], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "decoder_attention_heads": 12, | |
| "decoder_ffn_dim": 3072, | |
| "decoder_layers": 12, | |
| "decoder_max_position_embeddings": 1024, | |
| "eos_token_id": 2, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 1024, | |
| "model_type": "bart", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "vocab_size": 50265, | |
| "pad_token_id": 1 | |
| } | |