Instructions to use anirvankrishna/TaskB_Prefix_Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anirvankrishna/TaskB_Prefix_Finetune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anirvankrishna/TaskB_Prefix_Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from anirvankrishna/TaskB_Prefix_Finetune: direct link, hf CLI and curl.
- Browser
- Download file 442 Bytes
-
https://huggingface.co/anirvankrishna/TaskB_Prefix_Finetune/resolve/main/adapter_config.json
- Command line
-
hf download hf://anirvankrishna/TaskB_Prefix_Finetune/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/anirvankrishna/TaskB_Prefix_Finetune/resolve/main/adapter_config.json
442 Bytes
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "openai-community/gpt2-medium", | |
| "encoder_hidden_size": 1024, | |
| "inference_mode": true, | |
| "modules_to_save": null, | |
| "num_attention_heads": 16, | |
| "num_layers": 24, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 10, | |
| "peft_type": "PREFIX_TUNING", | |
| "peft_version": "0.18.1", | |
| "prefix_projection": false, | |
| "revision": null, | |
| "task_type": "CAUSAL_LM", | |
| "token_dim": 1024 | |
| } |