Instructions to use Patcas/try_again_gpt_my_awesome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/try_again_gpt_my_awesome with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/try_again_gpt_my_awesome") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/try_again_gpt_my_awesome", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28ec14245039b01125ca540b91c38539aea95a52e657d92e2429273fabf89a71
- Size of remote file:
- 4.73 kB
- SHA256:
- f78cb4c80c7be545dfbaf624883a9e432cd1eada05927eb03ff71036fb2e4118
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