Instructions to use Buseak/md_mt5_base_boun_first_2012_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/md_mt5_base_boun_first_2012_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Buseak/md_mt5_base_boun_first_2012_v2") model = AutoModelForSeq2SeqLM.from_pretrained("Buseak/md_mt5_base_boun_first_2012_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Buseak/md_mt5_base_boun_first_2012_v2: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Buseak/md_mt5_base_boun_first_2012_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Buseak/md_mt5_base_boun_first_2012_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Buseak/md_mt5_base_boun_first_2012_v2/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 04af4a59a6f51aaeb943f8148584276878b3c737a8773214b6f9dbdd7c079e4b
- Size of remote file:
- 16.3 MB
- SHA256:
- c6159d7ec2f2ff06356659536274e669822a98188a9cf7f009f92a264ab5abf4
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