Instructions to use microsoft/bloom-deepspeed-inference-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/bloom-deepspeed-inference-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/bloom-deepspeed-inference-int8")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/bloom-deepspeed-inference-int8") model = AutoModel.from_pretrained("microsoft/bloom-deepspeed-inference-int8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8267796ff7a92c9794f71d0b7014d61395deb9b0b0e9f2278019a85cda4b8c14
- Size of remote file:
- 5.55 GB
- SHA256:
- d1ad7cf22501554295a53e68597c7b58630957e1bf2189d30b7aabfd6e5da930
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