Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Noorrabie/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noorrabie/bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noorrabie/bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noorrabie/bert") model = AutoModelForSequenceClassification.from_pretrained("Noorrabie/bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Noorrabie/bert: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Noorrabie/bert/resolve/main/training_args.bin
- Command line
-
hf download hf://Noorrabie/bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Noorrabie/bert/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- b7679b36a6d278b14db6a0ad0723e2905e0595438d004715af7f8a515183469c
- Size of remote file:
- 5.5 kB
- SHA256:
- b9d10c67c035f1568f5197f3d7ff6332987e4e6242ed71215bac27748a091cb6
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