Instructions to use formermagic/bart-base-python-1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/bart-base-python-1m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/bart-base-python-1m") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/bart-base-python-1m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f5fb7a679566db7a0a3698d8b4e052d5d3241d8789c3e4531aad1173daf5ba
- Size of remote file:
- 594 MB
- SHA256:
- 43b4157f7d255c73eb39d3fd859ed86550f12d70f5d34fb9ac42b03186b2c724
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