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:
- 0a880a98fd6a73ba91f3208383ad34f3b3850e4499a32bd76e91431064a0c1c7
- Size of remote file:
- 5.55 GB
- SHA256:
- a18eab1222cbe89fbd86ba33493ecaf1f335ae7bb9e33a26c5093d04e200e731
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