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:
- 84068db0d77fe081d07af66633551b02b9b1715aa44e427a6aef11a732a86674
- Size of remote file:
- 4.8 kB
- SHA256:
- 06f48ceb4979e86861629f338c5c868392f8c2513b2ebf9ce80f39405e42fc38
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