Instructions to use StopFuture/borshch_40_future_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/borshch_40_future_7 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/borshch_40_future_7") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/borshch_40_future_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dceac7a18ac73e7278db0c91ac4d60e3758ca9318ac76a0e6dcbcd8a52a3faec
- Size of remote file:
- 2.44 GB
- SHA256:
- 920b399c9b304dc6ee74ff3a594a112d68e7b562b75fafe68f3dcd6b1fa76d1f
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