Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use aboonaji/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aboonaji/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aboonaji/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aboonaji/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("aboonaji/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aboonaji/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/aboonaji/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://aboonaji/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aboonaji/test_trainer/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 6c5f42f1d09cf9a73bc35b1d2751e25945adf0f45a1cf9b243aab2138bfbbab6
- Size of remote file:
- 4.86 kB
- SHA256:
- eafac4b54b1a8cbd94f584b5b612ec9814adf8182f8d37d2f47d6383584df59f
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