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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b84a416f89602c09f670a2678afd2d87e94208fb22d108d5b8b1ec3ce99c840
- Size of remote file:
- 4.16 kB
- SHA256:
- 31ce122897f6107898af6f06686840f883b3f952bbbef9fed20b8b59be30848b
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