Instructions to use rosadecsai/BASE_BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosadecsai/BASE_BASE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MultiTask_LED tokenizer = AutoTokenizer.from_pretrained("rosadecsai/BASE_BASE") model = MultiTask_LED.from_pretrained("rosadecsai/BASE_BASE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rosadecsai/BASE_BASE: direct link, hf CLI and curl.
- Browser
- Download file 7.74 kB
-
https://huggingface.co/rosadecsai/BASE_BASE/resolve/main/training_args.bin
- Command line
-
hf download hf://rosadecsai/BASE_BASE/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rosadecsai/BASE_BASE/resolve/main/training_args.bin
7.74 kB
- Xet hash:
- 73b921e614b18bd90a1250da9ba8b4b9b3330c9bb6d0ed4719566d1e7aa9da1b
- Size of remote file:
- 7.74 kB
- SHA256:
- 1fff41d753f0f65c108b0529f6ed51ffaccdf713259ec2e627af95b9f7d5130c
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