Instructions to use aparajitha/mt5-tr-sci-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aparajitha/mt5-tr-sci-ms with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aparajitha/mt5-tr-sci-ms") model = AutoModelForSeq2SeqLM.from_pretrained("aparajitha/mt5-tr-sci-ms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b67c74d48f7c6d4b6deba8535574235bdf2d894688507e5e8e515af67befca7
- Size of remote file:
- 5.3 kB
- SHA256:
- 66b13eb89816ef7cca9052fd4123d9a75b051b227b2d891a7628393ab8bc67a9
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