Instructions to use eclec/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("eclec/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52bac5ea6d4e7e9761d3944a324fee6dea5ecb522712663b442cbf9bf35d799c
- Size of remote file:
- 1.74 GB
- SHA256:
- eddafd616aa1aa4fda7c5c345b32e182b128932840acf5e942ed1c356bb2a203
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