Instructions to use mk9165/mk-bart-small-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mk9165/mk-bart-small-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mk9165/mk-bart-small-v3") model = AutoModelForSeq2SeqLM.from_pretrained("mk9165/mk-bart-small-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mk9165/mk-bart-small-v3: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/mk9165/mk-bart-small-v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://mk9165/mk-bart-small-v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mk9165/mk-bart-small-v3/resolve/main/tokenizer.json
1.05 MB
- Xet hash:
- fa452e9a3bc0c1dda663d89bd8b37a6631b30b5553a38d3a960b5dbabbf52f91
- Size of remote file:
- 1.05 MB
- SHA256:
- 4928689272fa77a7fc842b4fcd74159fc8a921774ad2644adaf71325cc34a902
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