Instructions to use mateiaass/albert-base-qa-1-batch-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaass/albert-base-qa-1-batch-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mateiaass/albert-base-qa-1-batch-1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mateiaass/albert-base-qa-1-batch-1") model = AutoModelForQuestionAnswering.from_pretrained("mateiaass/albert-base-qa-1-batch-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:79db7c0609aa9b9d9e3b7bf714334695fb461c4e75fc0b2e1553d236a543885b
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size 44381360
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