Instructions to use gigant/led_tib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigant/led_tib with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gigant/led_tib") model = AutoModelForSeq2SeqLM.from_pretrained("gigant/led_tib") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b7592460e74a678545ed30d13afc8aee36e7aa460aae8c5f8788d0247816d6c
- Size of remote file:
- 3.71 kB
- SHA256:
- e0a3e73b30535a7e70fb03cfad6762a033bde029dd1ae3221f14c599ca9d401e
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