Instructions to use aparajitha/mbart-ft-sci-ms-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aparajitha/mbart-ft-sci-ms-en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aparajitha/mbart-ft-sci-ms-en") model = AutoModelForSeq2SeqLM.from_pretrained("aparajitha/mbart-ft-sci-ms-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aparajitha/mbart-ft-sci-ms-en: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/aparajitha/mbart-ft-sci-ms-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://aparajitha/mbart-ft-sci-ms-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aparajitha/mbart-ft-sci-ms-en/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 604627e08a00b2b9728dfabcd4208c45a343509bfc684fb21ea749ffeea24946
- Size of remote file:
- 17.1 MB
- SHA256:
- 1ea7bf27d9ead3380aa2e1249a5538ea7d11fd9e81bbfea07d5c3434879e23b7
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