Instructions to use LordCoffee/bert-base-cased-cefr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LordCoffee/bert-base-cased-cefr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LordCoffee/bert-base-cased-cefr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LordCoffee/bert-base-cased-cefr") model = AutoModelForSequenceClassification.from_pretrained("LordCoffee/bert-base-cased-cefr") - 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:c13cc3d125a83538f721e69062c858285d23838fdd6f88611c74b6dec42697f9
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size 433283072
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