Instructions to use ShahzebKhoso/t5-small-opencode-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShahzebKhoso/t5-small-opencode-lora with PEFT:
Task type is invalid.
- Transformers
How to use ShahzebKhoso/t5-small-opencode-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShahzebKhoso/t5-small-opencode-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ShahzebKhoso/t5-small-opencode-lora: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/ShahzebKhoso/t5-small-opencode-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://ShahzebKhoso/t5-small-opencode-lora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ShahzebKhoso/t5-small-opencode-lora/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.