Instructions to use igor-im/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igor-im/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igor-im/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("igor-im/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("igor-im/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a1b2c4baf020087298e7fca03a0458c810ece41b492e09a57d55a35b2172207
- Size of remote file:
- 438 MB
- SHA256:
- da927020f68909cff2818564a95d94558632262df0338cc013822d5346fdb05f
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