Instructions to use yeeb/bert-base-cased_C50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeeb/bert-base-cased_C50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yeeb/bert-base-cased_C50")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yeeb/bert-base-cased_C50") model = AutoModelForSequenceClassification.from_pretrained("yeeb/bert-base-cased_C50") - 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 sha256:75198f6f6e0e5c3a4971c58daea3257165aebfaba8b403af4b114a938cd3cd44
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size 433422600
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