Instructions to use songtingyu/limrank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use songtingyu/limrank with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("songtingyu/limrank") model = AutoModelForMultimodalLM.from_pretrained("songtingyu/limrank") - Notebooks
- Google Colab
- Kaggle
| # ollama modelfile auto-generated by llamafactory | |
| FROM . | |
| TEMPLATE """{{ if .System }}{{ .System }}{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}{{ .Content }}{{ else if eq .Role "assistant" }}{{ .Content }}{{ end }}{{ end }}""" | |
| PARAMETER stop "<|endoftext|>" | |
| PARAMETER num_ctx 4096 | |