Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use dimitarpg13/bert-finetuned-wines-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimitarpg13/bert-finetuned-wines-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dimitarpg13/bert-finetuned-wines-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dimitarpg13/bert-finetuned-wines-test") model = AutoModelForSequenceClassification.from_pretrained("dimitarpg13/bert-finetuned-wines-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee8e1e4279d87d07428fe00d5457c56d00b12157f1b5c271b2996e81eb30eb5b
- Size of remote file:
- 5.37 kB
- SHA256:
- 52f42dd4fe70f934892f4148f18ff90483643f42728ecdaac487f387ed1a879e
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