Instructions to use ThorBaller/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThorBaller/lora_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ThorBaller/lora_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThorBaller/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from ThorBaller/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/ThorBaller/lora_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://ThorBaller/lora_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ThorBaller/lora_model/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.