Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use henryscheible/bert-base-uncased_crows_pairs_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/bert-base-uncased_crows_pairs_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/bert-base-uncased_crows_pairs_classifieronly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/bert-base-uncased_crows_pairs_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/bert-base-uncased_crows_pairs_classifieronly") - 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 sha256:6370e202f6ac07ea562217e9a22e99fa605ef2fbbef13d1971aba0d9f7277444
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size 437962836
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