Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gugukaka/bert_fine_tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gugukaka/bert_fine_tune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gugukaka/bert_fine_tune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gugukaka/bert_fine_tune") model = AutoModelForSequenceClassification.from_pretrained("gugukaka/bert_fine_tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c44cedfe58f664c082ff6fedc15fe0d1d813da38e67e06dd5cf9e409b6f047f
- Size of remote file:
- 5.2 kB
- SHA256:
- 6b56072053648428ddd72e94d61a3d5befe6c3f2c1b3433f887f9d27c8f07def
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