Instructions to use radned/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radned/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="radned/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("radned/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("radned/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5a1d4f8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3f20e2ccbe36d191a16bbe23bbe67abdb1d1884dbb9610aed3904cb3ac0335c5
size 438005109
|