Instructions to use StopFuture/borshch_25_future_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/borshch_25_future_8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/borshch_25_future_8") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/borshch_25_future_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d33d41c9caf7190fb898b9013d703a0d562a864fd915ecec174a04d539898a0
- Size of remote file:
- 3.64 kB
- SHA256:
- e238ece09b10404d50d51f0ff1da4f7290cfc4e764432744278b901ab843152a
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