Instructions to use freethenation/bert-base-uncased-tense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freethenation/bert-base-uncased-tense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="freethenation/bert-base-uncased-tense")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("freethenation/bert-base-uncased-tense") model = AutoModelForSequenceClassification.from_pretrained("freethenation/bert-base-uncased-tense") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:dc949d486c5ddf35e080ca2036db1a7b83d854201f6a443e20ffb18796493b70
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size 437965908
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