Instructions to use Harish-as-harry/solidity_Lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harish-as-harry/solidity_Lora_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-base") model = PeftModel.from_pretrained(base_model, "Harish-as-harry/solidity_Lora_model") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Harish-as-harry/solidity_Lora_model: direct link, hf CLI and curl.
- Browser
- Download file 2.29 MB
-
https://huggingface.co/Harish-as-harry/solidity_Lora_model/resolve/main/tokenizer.json
- Command line
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hf download hf://Harish-as-harry/solidity_Lora_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Harish-as-harry/solidity_Lora_model/resolve/main/tokenizer.json
2.29 MB
File too large to display, you can check the raw version instead.