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:
- a6651df104eb043b261994d098b74a910194c4bcc96a0f41fcb84e6d5d667440
- Size of remote file:
- 268 MB
- SHA256:
- 9b59a293aa6c8aca83b5cb3156d888d8ea2c4272b73db4a0143212b7209e9c53
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