Instructions to use WeightWatcher/albert-large-v2-qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WeightWatcher/albert-large-v2-qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WeightWatcher/albert-large-v2-qqp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WeightWatcher/albert-large-v2-qqp") model = AutoModelForSequenceClassification.from_pretrained("WeightWatcher/albert-large-v2-qqp") - 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 sha256:4f5fb4e8552a19c879898c9343d2d9234b0af8ba6f7a83e476b81a533d770720
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size 70751712
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