Instructions to use aparajitha/mbart-sci-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aparajitha/mbart-sci-ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aparajitha/mbart-sci-ft") model = AutoModelForSeq2SeqLM.from_pretrained("aparajitha/mbart-sci-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aparajitha/mbart-sci-ft: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/aparajitha/mbart-sci-ft/resolve/main/tokenizer.json
- Command line
-
hf download hf://aparajitha/mbart-sci-ft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aparajitha/mbart-sci-ft/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 0480d8df0d32853ddc8dcf5be7ada13737658050097bb616295d780a6a95349f
- Size of remote file:
- 17.1 MB
- SHA256:
- 5e37ea38cc231bb00e02101cf241f143c63f39cb69120eb7941f42e76e601463
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.