Instructions to use Intel/dynamic-minilmv2-L6-H384-squad1.1-int8-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dynamic-minilmv2-L6-H384-squad1.1-int8-static with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Intel/dynamic-minilmv2-L6-H384-squad1.1-int8-static")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Intel/dynamic-minilmv2-L6-H384-squad1.1-int8-static") model = AutoModelForQuestionAnswering.from_pretrained("Intel/dynamic-minilmv2-L6-H384-squad1.1-int8-static", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#8)
Browse files- Adding `safetensors` variant of this model (ac8e296dbb44ff8212c29101d2a5188a63e83ddd)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:04c56da56835dff09eeb5e8cd0804c023d523eeebfeddc8391e4751f83e75b55
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size 120607768
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