Text Classification
PyTorch
Transformers
English
Transformers
bert
nlp
argilla
text-embeddings-inference
Instructions to use plaguss/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use plaguss/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="plaguss/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("plaguss/test_model") model = AutoModelForSequenceClassification.from_pretrained("plaguss/test_model") - 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:cafab35a6fc082585c1a60321ad7cdd3d3e46eaf08ca5eb4e7c651e5e338efcf
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size 433273844
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