Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
English
German
bert
Generated from Trainer
Instructions to use LLukas22/all-MiniLM-L12-v2-qa-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLukas22/all-MiniLM-L12-v2-qa-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LLukas22/all-MiniLM-L12-v2-qa-all")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("LLukas22/all-MiniLM-L12-v2-qa-all") model = AutoModelForQuestionAnswering.from_pretrained("LLukas22/all-MiniLM-L12-v2-qa-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4f90133b00828345c9d1234601c331be8beed4c3dbf12f5a9fcc10ebf0575f
- Size of remote file:
- 133 MB
- SHA256:
- b197e777a7b0593d9b7b203e2189a956fcd7f6aac206261b19aed28580533ab6
路
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