Instructions to use StopFuture/future_13_2ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/future_13_2ep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/future_13_2ep") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/future_13_2ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cabf5fd73110c724bd7a244b663b269614c470bf4f12030d7dcb0e0a4911f054
- Size of remote file:
- 2.44 GB
- SHA256:
- 8998488611016cc94701ca594c5a0e730ff3a5a8ff1313c09f51d78c1a39bef0
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