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:
- 3732d43d61afd76c8e1b7a042decbf4bfc144220f0f17988efc5533c26d7401f
- Size of remote file:
- 4.16 kB
- SHA256:
- 915193a4b9056fbf63b9cf04c29f8c200134da2c688e2d3d7ce4b762bdb4841a
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