Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sgugger/finetuned-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/finetuned-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgugger/finetuned-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/finetuned-bert") model = AutoModelForSequenceClassification.from_pretrained("sgugger/finetuned-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 348396d11ed4271c90b6bb3486caa7bf1e049e4e95a261c8e557967a56eceb06
- Size of remote file:
- 2.61 kB
- SHA256:
- db27f20563083e1d0afc6e64578924bf361ca497b0bbb529660ee719d1d22adf
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