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
- Xet hash:
- 8f6af4ade4ddf44161f0580a7165089842c42532001df649f4f1a22d550135d4
- Size of remote file:
- 121 MB
- SHA256:
- 5abe72f17812e1f31745b7d660ef19877445c5c7a4a9e5e8bb9d8bc2eabc817a
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