Instructions to use StopFuture/future_13_less_lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/future_13_less_lr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/future_13_less_lr") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/future_13_less_lr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53bce423a2fe2c8fa41b4551512a4f4f629270214e4ca5f0f6bbe00d19856ee7
- Size of remote file:
- 2.44 GB
- SHA256:
- 7cc6e15be60cc87fd72d8de9624812bd0624872b0237d228b7d3ca9707c50165
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