Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use yoc4/test-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yoc4/test-tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yoc4/test-tuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yoc4/test-tuning") model = AutoModelForSequenceClassification.from_pretrained("yoc4/test-tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yoc4/test-tuning: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/yoc4/test-tuning/resolve/main/training_args.bin
- Command line
-
hf download hf://yoc4/test-tuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yoc4/test-tuning/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 503675935599663c5e1f2a945930a3f24881294e5b888bad72ff5ec30f4700f0
- Size of remote file:
- 5.84 kB
- SHA256:
- a6e273015dd605c762057c40f96f04cbc3ff2e3399707ad0a32117184098e1a8
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