Instructions to use alvations/mt5-aym-lex-try3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvations/mt5-aym-lex-try3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alvations/mt5-aym-lex-try3") model = AutoModelForSeq2SeqLM.from_pretrained("alvations/mt5-aym-lex-try3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b71bd0a423bb198d62aeed96de9d34be575f449fc7065580e311c72aa3044e31
- Size of remote file:
- 2.34 GB
- SHA256:
- 73ddb4c38bdc650995af9afb346b5fcccf961251d6f9aac8c953ccf09e6a1ee9
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