Instructions to use Mahmoud8/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/bart-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/bart-large") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/bart-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mahmoud8/bart-large: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Mahmoud8/bart-large/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahmoud8/bart-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahmoud8/bart-large/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- e0c138abd7dfdfbcf42093d94216a54f0d86ea50da059c40c36ab103bb7c59ac
- Size of remote file:
- 3.64 kB
- SHA256:
- 00581a8edfeb0fb2399ac69bcecc37b2bc53aec49ce08e17d19d1d519ca511bd
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