Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DRAGOO/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRAGOO/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DRAGOO/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DRAGOO/bert_model") model = AutoModelForSequenceClassification.from_pretrained("DRAGOO/bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16b8ac5fb49824081069aee90cfdfe3d24da4ba1c0925d4476b1b201638aff1c
- Size of remote file:
- 4.98 kB
- SHA256:
- 87993fc729472e1d80ddb04269660f5e853978d9ab4366c584bae6a3944f88e3
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