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:
- 6018c8fe1bee1d595c9af54d194d838b15462aa7bb7ce2a729bf6301cb107791
- Size of remote file:
- 594 MB
- SHA256:
- a5ec97fc5f7d8beb718a2b4152aff2313fc1453dfa5d6c70f5c48378e6c00e45
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