Instructions to use Bajiyo/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bajiyo/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Bajiyo/results") model = AutoModelForSeq2SeqLM.from_pretrained("Bajiyo/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3b9cb5922440b0a2c128f32b3e78805bade17a2b2013de10a6145eeed85baa
- Size of remote file:
- 5.3 kB
- SHA256:
- 20ef9919bc8d6ff2cf9467910d4e290b6dadad183709d3c8dcb2451e242f65f2
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