Instructions to use seamusl/F1-autoLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seamusl/F1-autoLLM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seamusl/F1-autoLLM") model = AutoModelForSeq2SeqLM.from_pretrained("seamusl/F1-autoLLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 010ea04f712c24cc42f7eff36f5cfa8880eaf3f13f8f4e3ed26551db86d2f31f
- Size of remote file:
- 6.7 GB
- SHA256:
- 1cee5af3bd8ff45bc45c804cb918e22ddec580687e56e7bdc68ae5ad354b476d
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