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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c1c8b8402353670389c5c77a4bdfee82ba2657089a4efe19e3048042ac301f2
- Size of remote file:
- 268 MB
- SHA256:
- c4e58ea8ebb8c3900a639a004a77b214d75ca894e6bdfaf59c745526b9a298d4
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