Instructions to use research-dump/albert-base-v2_fold_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/albert-base-v2_fold_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/albert-base-v2_fold_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/albert-base-v2_fold_0") model = AutoModelForSequenceClassification.from_pretrained("research-dump/albert-base-v2_fold_0") - 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:e6054780371c1d201724f1c6513ad8f4bf2fa6dc4241ba280f86c2c76ca434f6
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size 46748096
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