Instructions to use rjbownes/lovelace-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjbownes/lovelace-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rjbownes/lovelace-generator") model = AutoModelForSeq2SeqLM.from_pretrained("rjbownes/lovelace-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0aa6468ffef688cd8c4824ab30f40892e0b97485a4100ef5b1f1db03cec9c6
- Size of remote file:
- 892 MB
- SHA256:
- 9421122c978cae24dbbb43a97c30a2a890ddbd8c14e960ac0d6058b18b759c2f
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