Instructions to use cosuleabianca/mbart_sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosuleabianca/mbart_sum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cosuleabianca/mbart_sum") model = AutoModelForSeq2SeqLM.from_pretrained("cosuleabianca/mbart_sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cosuleabianca/mbart_sum: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/cosuleabianca/mbart_sum/resolve/main/tokenizer.json
- Command line
-
hf download hf://cosuleabianca/mbart_sum/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cosuleabianca/mbart_sum/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 3de98e777046e5442fe1aa6e3057474a1976a6d6af90450f6d95612553a16ede
- Size of remote file:
- 17.1 MB
- SHA256:
- e10540b6ba2b90f7072bdf79ef4320c425d935e268eaa941b13b90e9d88e1810
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