Instructions to use SimSaas/txt2KG_onT5_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SimSaas/txt2KG_onT5_3b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SimSaas/txt2KG_onT5_3b") model = AutoModelForSeq2SeqLM.from_pretrained("SimSaas/txt2KG_onT5_3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7f4a6a1bc8d98dbc9d811ae67c60ba39c5839b3270af352c8af89e19a508bb1
- Size of remote file:
- 11.4 GB
- SHA256:
- fdf7213acdd4ad8ad1ae25f3bca7070f96634e721d1b0691d9e0b9d460b545e6
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