Instructions to use jluckyboyj/train_crawdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jluckyboyj/train_crawdata with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vlsp-2023-vllm/hoa-7b") model = PeftModel.from_pretrained(base_model, "jluckyboyj/train_crawdata") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from jluckyboyj/train_crawdata: direct link, hf CLI and curl.
- Browser
- Download file 440 Bytes
-
https://huggingface.co/jluckyboyj/train_crawdata/resolve/main/adapter_config.json
- Command line
-
hf download hf://jluckyboyj/train_crawdata/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/jluckyboyj/train_crawdata/resolve/main/adapter_config.json
440 Bytes
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "vlsp-2023-vllm/hoa-7b", | |
| "inference_mode": true, | |
| "num_attention_heads": 32, | |
| "num_layers": 30, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 8, | |
| "peft_type": "PROMPT_TUNING", | |
| "prompt_tuning_init": "RANDOM", | |
| "prompt_tuning_init_text": null, | |
| "revision": null, | |
| "task_type": "CAUSAL_LM", | |
| "token_dim": 4096, | |
| "tokenizer_name_or_path": "vlsp-2023-vllm/hoa-7b" | |
| } |