Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use muhtasham/bert-small-finetuned-eoir_privacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/bert-small-finetuned-eoir_privacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muhtasham/bert-small-finetuned-eoir_privacy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muhtasham/bert-small-finetuned-eoir_privacy") model = AutoModelForSequenceClassification.from_pretrained("muhtasham/bert-small-finetuned-eoir_privacy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a551a567493237bcc43c8a2068388504bbbaf804919c4e00919833bc668b5416
- Size of remote file:
- 115 MB
- SHA256:
- a5d8839b3e3e98f8bda3922b3639ae82813cfd9724ee6078e49fa688fd75fe2a
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