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:
- a991b98327235bbd711dfdba2b21439488f0e37d1c2ddf7d56ecc10c25734036
- Size of remote file:
- 3.64 kB
- SHA256:
- 8ed44f36edf34cfbf5883fb6d1a3e5c751ed481667a972978035d0a834afa812
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