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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acul3/bloomz-3b-Instruction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35608063587716905c1f2fb7590394f14346ddc04424aaea3cb0339ca8c7de46
- Size of remote file:
- 6 GB
- SHA256:
- cc3305b9601d18b03a13dcb776bc8fde592225952f962bfc7387b3fafa078fd9
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