Instructions to use devagonal/mt5-semantic-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/mt5-semantic-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/mt5-semantic-2") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/mt5-semantic-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devagonal/mt5-semantic-2: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/devagonal/mt5-semantic-2/resolve/main/training_args.bin
- Command line
-
hf download hf://devagonal/mt5-semantic-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devagonal/mt5-semantic-2/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- e1a7dad2cf5d13a9c728cb633327b5b7336e8e5c89e59f55604a6ac60811318a
- Size of remote file:
- 4.6 kB
- SHA256:
- c9d3ab9fc1ba47fc3039c757756f47748dfac457c2e05049219f6f361df4ddad
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