Instructions to use medd/testing_prompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use medd/testing_prompt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "medd/testing_prompt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name_or_path": "tiiuae/falcon-7b", | |
| "inference_mode": true, | |
| "num_attention_heads": 71, | |
| "num_layers": 32, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 500, | |
| "peft_type": "PROMPT_TUNING", | |
| "prompt_tuning_init": "TEXT", | |
| "prompt_tuning_init_text": "Formulate", | |
| "revision": null, | |
| "task_type": "CAUSAL_LM", | |
| "token_dim": 4544, | |
| "tokenizer_name_or_path": "tiiuae/falcon-7b" | |
| } |