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:
- 464ca73005678e155bc95b513d94aff4d3c5e9fb5343b199acccf296bdcc9fb3
- Size of remote file:
- 3.64 kB
- SHA256:
- 113fc330b37d50c3e63fc5413d9ee355d5a0009974b2b90348f81b707c6074af
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