Instructions to use SnehaPriyaaMP/Search_Text_Model_Input with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SnehaPriyaaMP/Search_Text_Model_Input with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SnehaPriyaaMP/Search_Text_Model_Input") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from SnehaPriyaaMP/Search_Text_Model_Input: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/SnehaPriyaaMP/Search_Text_Model_Input/resolve/main/generation_config.json
- Command line
-
hf download hf://SnehaPriyaaMP/Search_Text_Model_Input/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/SnehaPriyaaMP/Search_Text_Model_Input/resolve/main/generation_config.json
198 Bytes
| { | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128001, | |
| "max_length": 8192, | |
| "pad_token_id": 128255, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.48.3" | |
| } | |