Instructions to use StopFuture/future1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/future1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/future1") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/future1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6523d6c5e19b623810db903f083996f3518e9b235c8a3f5c7cee3725bfce2bd
- Size of remote file:
- 2.44 GB
- SHA256:
- c0bc9ae9a14adccb1c2866fcbb5f1ca9aa78c212fc775a64b6f079e93bbcd85b
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