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:
- db7d5beb0e6e650df4ae12aabbc6942796c7694a2fd7a92d93fb3112189b785c
- Size of remote file:
- 4.73 GB
- SHA256:
- a88ae7253480fac05bc5208ce1d67df40629f4402133cfd4386057eddd77e0a6
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