Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Zainab984/BP-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zainab984/BP-test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zainab984/BP-test1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zainab984/BP-test1") model = AutoModelForSequenceClassification.from_pretrained("Zainab984/BP-test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zainab984/BP-test1: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Zainab984/BP-test1/resolve/main/training_args.bin
- Command line
-
hf download hf://Zainab984/BP-test1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zainab984/BP-test1/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 3eb63b98083f12a2a6b7698332882138127e4e8d267e01c9b09907dd5cfb7351
- Size of remote file:
- 4.54 kB
- SHA256:
- 587b95c575a1d137c624d04027deafa15c39c3cb3a8b586a96de02dc3323c5d7
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