Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use JulesGo/bert-small-paragraph-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulesGo/bert-small-paragraph-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JulesGo/bert-small-paragraph-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JulesGo/bert-small-paragraph-classifier") model = AutoModelForSequenceClassification.from_pretrained("JulesGo/bert-small-paragraph-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ca993209242a9e4906a825cea676f1f0a90c2fa009182c2485aed20a7d11c56
- Size of remote file:
- 443 MB
- SHA256:
- 6f66c58edabfc31d96cb77fca91b1ed87041d8ee46ca1589ab5b4f5f515dcf2c
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