Instructions to use Thirawarit/adapter_ThaiSC_LLM_Scamper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Thirawarit/adapter_ThaiSC_LLM_Scamper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openthaigpt/openthaigpt-1.0.0-7b-chat") model = PeftModel.from_pretrained(base_model, "Thirawarit/adapter_ThaiSC_LLM_Scamper") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Thirawarit/adapter_ThaiSC_LLM_Scamper: direct link, hf CLI and curl.
- Browser
- Download file 718 kB
-
https://huggingface.co/Thirawarit/adapter_ThaiSC_LLM_Scamper/resolve/main/tokenizer.model
- Command line
-
hf download hf://Thirawarit/adapter_ThaiSC_LLM_Scamper/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Thirawarit/adapter_ThaiSC_LLM_Scamper/resolve/main/tokenizer.model
718 kB
- Xet hash:
- 04885315aecf4b90682576df135c94d592edb84a46e683f9a22200d5ca7deae6
- Size of remote file:
- 718 kB
- SHA256:
- 02df43dcae8c7b5b122d45f642e42c96577cdd09fd949c6996051886c72ab002
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