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:
- 5bf71cea3dd6713d7c1e0cee0b826a8d6d3cfc756cfeecf568a003e4a420d4fe
- Size of remote file:
- 648 MB
- SHA256:
- d0a12747c5efd2c88b7589f2241290038902ee34fb2c4256889a3fcf38815d3f
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