Instructions to use mk9165/mk-bart-small-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mk9165/mk-bart-small-v5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mk9165/mk-bart-small-v5") model = AutoModelForSeq2SeqLM.from_pretrained("mk9165/mk-bart-small-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mk9165/mk-bart-small-v5: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/mk9165/mk-bart-small-v5/resolve/main/tokenizer.json
- Command line
-
hf download hf://mk9165/mk-bart-small-v5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mk9165/mk-bart-small-v5/resolve/main/tokenizer.json
1.05 MB
- Xet hash:
- 4d0dd2b9466e2d6e9d2992a5d828cd074fd322cf396d3ead292d16c68d1de891
- Size of remote file:
- 1.05 MB
- SHA256:
- face11a44b1eab72a94ac4a780e7c8d081b1128bb233a51807fc1240e35f660a
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