Instructions to use ativilambit/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ativilambit/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ativilambit/results") model = AutoModelForSeq2SeqLM.from_pretrained("ativilambit/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b6dc407ee9869e8fac2224cbb202a2832b7c43b1678182bcfdab17f9b87fa49
- Size of remote file:
- 308 MB
- SHA256:
- d92e5c765ca680975fe3b4fbf8e5f63b8c703900df8e959d114bf14f5dac7880
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