Text Generation
PEFT
Safetensors
Indonesian
English
Arabic
ai-agent
lora
qwen
self-hosted
open-source
free
rag
epistemology
indonesia
islamic-epistemology
local-ai
agentic-ai
conversational
Instructions to use Tiranyx/sidix-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tiranyx/sidix-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Tiranyx/sidix-lora") - Notebooks
- Google Colab
- Kaggle
Fix tokenizer_config.json — remove BOM, valid JSON
Browse files- tokenizer_config.json +2 -2
tokenizer_config.json
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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