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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bac4b8ff1955c4265c697413fc98f19b8e462673d5abfc7339acf53472c563d9
- Size of remote file:
- 892 MB
- SHA256:
- f3be7d11d25b4ce49b60d87856fa726b1370c33489ca31a46369ea32b3471bbf
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