Instructions to use alzoubi36/priva_t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alzoubi36/priva_t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alzoubi36/priva_t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("alzoubi36/priva_t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6184e84faeac369665fc8e5cf7a0afa0a6992f6dca6052f419bc8140edb0e956
- Size of remote file:
- 892 MB
- SHA256:
- 0cda29b70a3323cd8d66f6c7e796d15a911609d62c31b4ee19937fc18cc33a91
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