Instructions to use obokkkk/mt5-base_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obokkkk/mt5-base_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("obokkkk/mt5-base_2") model = AutoModelForSeq2SeqLM.from_pretrained("obokkkk/mt5-base_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from obokkkk/mt5-base_2: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/obokkkk/mt5-base_2/resolve/main/training_args.bin
- Command line
-
hf download hf://obokkkk/mt5-base_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/obokkkk/mt5-base_2/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 8113f019cb25ff791c96d476ec59a88b9832adb1a2914a9bd468b98635522132
- Size of remote file:
- 3.18 kB
- SHA256:
- 1e1ce711321c3dc251cb3d3b13409ff09873aaaa45d5e7e086758865f5546e5f
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