Instructions to use acul3/bloomz-3b-Instruction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acul3/bloomz-3b-Instruction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acul3/bloomz-3b-Instruction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from acul3/bloomz-3b-Instruction: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/acul3/bloomz-3b-Instruction/resolve/main/training_args.bin
- Command line
-
hf download hf://acul3/bloomz-3b-Instruction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/acul3/bloomz-3b-Instruction/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 9a70630811855807e21a932f16e2165b555ac1c2a0cd9dc1ebf2c39099abbfd0
- Size of remote file:
- 4.54 kB
- SHA256:
- 7f30cc899cc043bf9331d80ff7a5332152f87e8fe4c600cf38118e8238d5a4a5
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