Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use emrevarol/dz_finetuning-medium-distillbert-95K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emrevarol/dz_finetuning-medium-distillbert-95K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emrevarol/dz_finetuning-medium-distillbert-95K")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emrevarol/dz_finetuning-medium-distillbert-95K") model = AutoModelForSequenceClassification.from_pretrained("emrevarol/dz_finetuning-medium-distillbert-95K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf83b59e8b833f1232c762671fe5ef0d4e9604c694178ebae3ceba7594339d8a
- Size of remote file:
- 3.44 kB
- SHA256:
- 5f3b9d71e911964dbccff9bc0a8a53e4b501e8e8903a8eeef6ba1e6fa2f3097b
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