Instructions to use xiazeng/test-old-study_bert-large_two-way with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiazeng/test-old-study_bert-large_two-way with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiazeng/test-old-study_bert-large_two-way")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xiazeng/test-old-study_bert-large_two-way") model = AutoModelForSequenceClassification.from_pretrained("xiazeng/test-old-study_bert-large_two-way") - 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:b011e8532ffa35f4750382564bb47a9ef443530a5a8962e82e01972a8d5bf02a
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size 1340626952
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