Instructions to use Eitanli/albert-qa-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eitanli/albert-qa-checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Eitanli/albert-qa-checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Eitanli/albert-qa-checkpoint") model = AutoModelForQuestionAnswering.from_pretrained("Eitanli/albert-qa-checkpoint", 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:cc32832998da8da6744e211dd822b14cc85dc3a02b656a06a9217bd1d770439c
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size 44385552
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