Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use TirkNork/sentence_classfication_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TirkNork/sentence_classfication_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TirkNork/sentence_classfication_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TirkNork/sentence_classfication_test") model = AutoModelForSequenceClassification.from_pretrained("TirkNork/sentence_classfication_test") - 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 sha256:2ae2d9d89efceb338f3d2307fbed5a73440b84d19632dbe6b76fd19f6d67ebb0
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size 267835644
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