Instructions to use instilux/lux-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use instilux/lux-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("instilux/lux-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("instilux/lux-t5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1be37eb19f9d72c9317a6ee198566893e233c59a0f5e3abc91792e2f34348a65
- Size of remote file:
- 4.92 GB
- SHA256:
- b6ce477860d6630efbc821a2a42638e8cf77686ee0e2f4b98037dcfd4d40415c
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