Instructions to use smjain/code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smjain/code with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smjain/code") model = AutoModelForSeq2SeqLM.from_pretrained("smjain/code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4116c8f79ecbbea5c39b50378dd8767a73f9b3010d056dcb81e60c01273d6110
- Size of remote file:
- 892 MB
- SHA256:
- f351d1f41bfb0bf76cb3bfae56f1162484c595c261466cc36867cf10d0012dcb
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