Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use billykwok/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billykwok/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="billykwok/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("billykwok/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("billykwok/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from billykwok/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/billykwok/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://billykwok/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/billykwok/test_trainer/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1f016a3deae0dea3a00e03d0d28d72a4079a48bd73da87b6fd904b86864b109d
- Size of remote file:
- 5.3 kB
- SHA256:
- 0f4df8275d16b7638166874d1d170c1c836cb3cceba649fbe866c964ba44782f
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