Instructions to use Eli-Rhm/SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eli-Rhm/SFT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Eli-Rhm/SFT") model = AutoModelForSeq2SeqLM.from_pretrained("Eli-Rhm/SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72279f9a4b0dbd2bcad79cf492f3d214e512fa131490d30a31bda80117731d1c
- Size of remote file:
- 892 MB
- SHA256:
- 77f9a26a546ce9ba85fd8463d3f659679e8510dd87f75d27c2578bce9f73ab4d
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