Instructions to use PasinB/llama3.1_Thai_relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PasinB/llama3.1_Thai_relation-extraction with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "PasinB/llama3.1_Thai_relation-extraction") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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library_name: peft
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# Model Card for Model ID
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base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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library_name: peft
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datasets:
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- Teera/RelationExtraction-NLG-Thai
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language:
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- th
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- en
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pipeline_tag: graph-ml
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tags:
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- thai culture
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# Model Card for Model ID
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