Instructions to use aidanzhou/BACRizzler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aidanzhou/BACRizzler with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aidanzhou/BACRizzler") model = AutoModelForSeq2SeqLM.from_pretrained("aidanzhou/BACRizzler", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aidanzhou/BACRizzler: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/aidanzhou/BACRizzler/resolve/main/training_args.bin
- Command line
-
hf download hf://aidanzhou/BACRizzler/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aidanzhou/BACRizzler/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 2507c7bc5de27157416292937379d7711f60700eed33b5aea6aad80321fb66de
- Size of remote file:
- 5.3 kB
- SHA256:
- 24a0aeb6f0bda01bef9569d4ee19b6455911cbc05c68cd19487325d74078c703
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