Instructions to use halfrot/sft-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halfrot/sft-mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("halfrot/sft-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("halfrot/sft-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from halfrot/sft-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/halfrot/sft-mt5-base/resolve/main/model.safetensors
- Command line
-
hf download hf://halfrot/sft-mt5-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/halfrot/sft-mt5-base/resolve/main/model.safetensors
2.33 GB
- Xet hash:
- 248c9be9ddbceed1bb696ffacd7ee7986aacbaa645b8b224194b1a539498ac96
- Size of remote file:
- 2.33 GB
- SHA256:
- 1506fba2efbc0b2bb34d8b800460e5e6bfb53abad47ad419d742887ad3162b65
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