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:
- 8c2276a386b8eb57b66e55eb6b8f4abe6ebd950d09f9105492a13c20256ef3e1
- Size of remote file:
- 5.55 GB
- SHA256:
- b5621e183da72c3c6ee6a0c07ddd1d8cf7dde466e8da36e2ca5770977be6a3de
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