Instructions to use microsoft/bloom-deepspeed-inference-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/bloom-deepspeed-inference-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/bloom-deepspeed-inference-fp16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/bloom-deepspeed-inference-fp16") model = AutoModel.from_pretrained("microsoft/bloom-deepspeed-inference-fp16") - Notebooks
- Google Colab
- Kaggle
adding ckpt 2 1
Browse files- BLOOM-tp_02_01.pt +3 -0
BLOOM-tp_02_01.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff88e77b03c9a04c2b1ef90007d9b6b3cca2807db87d725d0aad8565cc7e4561
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size 5550871749
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