Instructions to use liamcripwell/ctrl44-simp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamcripwell/ctrl44-simp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liamcripwell/ctrl44-simp") model = AutoModelForSeq2SeqLM.from_pretrained("liamcripwell/ctrl44-simp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d53e7ea67ff6711b961251f2a085213fdb0cbadc3668844ffa7c9ffa20025cb7
- Size of remote file:
- 558 MB
- SHA256:
- 730381f59261fada063ea0cc2f449c8fe2c9e3f9ae9e0caac26a68c11bd947a3
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