Instructions to use research-dump/albert-base-v2_fold_2 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_2 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_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/albert-base-v2_fold_2") model = AutoModelForSequenceClassification.from_pretrained("research-dump/albert-base-v2_fold_2") - 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:bd182d24b8c1c124df8f2a25b226b0ee90a5da65ecf43b0842548c55ecb11c60
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size 46748096
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