Instructions to use jonathanirl/gsm8k-prolog-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanirl/gsm8k-prolog-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jonathanirl/gsm8k-prolog-t5") model = AutoModelForSeq2SeqLM.from_pretrained("jonathanirl/gsm8k-prolog-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f65f47bf634180797945deab737cac01eaf9650eea385ba4f1a9044a7c381a4
- Size of remote file:
- 5.91 kB
- SHA256:
- 4e2e05335a4e4331cf96561e3515f13771bb72a44d3a7959f5d22dd1f4c9ec54
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