Instructions to use Buseak/md_mt5_0109_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/md_mt5_0109_v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Buseak/md_mt5_0109_v3") model = AutoModelForSeq2SeqLM.from_pretrained("Buseak/md_mt5_0109_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Buseak/md_mt5_0109_v3: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Buseak/md_mt5_0109_v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://Buseak/md_mt5_0109_v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Buseak/md_mt5_0109_v3/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- bf8ef84f3c0e205bb565f124e4fdb784587f6a865a204de249f297cbf6d71f00
- Size of remote file:
- 16.3 MB
- SHA256:
- 1fabeeba8c57563ba6a0a37b67dc2bf3b451983d3ee33814230168ac966c1cad
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