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
Download training_args.bin from muhtasham/bert-small-finetuned-eoir_privacy: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/muhtasham/bert-small-finetuned-eoir_privacy/resolve/main/training_args.bin
- Command line
-
hf download hf://muhtasham/bert-small-finetuned-eoir_privacy/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/muhtasham/bert-small-finetuned-eoir_privacy/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 8596d08d0ae79c6bf0a5f25d636912d530a5e527a9774bf2ac26327cf8c87194
- Size of remote file:
- 3.38 kB
- SHA256:
- b67cb8d26cb035f86d3f0c6268802e880aa992660f883c36201b1f378c2aef53
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