Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use kearney/office-character with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kearney/office-character with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kearney/office-character")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kearney/office-character") model = AutoModelForSequenceClassification.from_pretrained("kearney/office-character") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by kearney - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88a6f1457f6acdc405d553f978b8c3d280fb57b9f4a927a0895b7035668b9f4c
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size 267881784
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