Instructions to use alenusch/mt5small-ruparaphraser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alenusch/mt5small-ruparaphraser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alenusch/mt5small-ruparaphraser") model = AutoModelForSeq2SeqLM.from_pretrained("alenusch/mt5small-ruparaphraser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf36d4569d01798c7412384f79bf79ab65c89f2502fc09fb59a03757cd754979
- Size of remote file:
- 1.2 GB
- SHA256:
- 9a7a90fd8e00f951318e05bfc6ad65ee18b5206b7657da4aa2a800c926ea27c5
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