Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use vmg1957/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmg1957/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vmg1957/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vmg1957/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("vmg1957/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vmg1957/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/vmg1957/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://vmg1957/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vmg1957/test_trainer/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- a811ccdb56ca6bb99d7e6319f5e6f41df8eb50fd70d2b62e2a39158d96fd415b
- Size of remote file:
- 4.28 kB
- SHA256:
- 8cac7f4f1ec798db6c001319524711bc6ec93eefdd1dc5f0f31f60fd151f7e66
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