Instructions to use teppei727/config_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teppei727/config_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teppei727/config_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teppei727/config_test") model = AutoModelForSequenceClassification.from_pretrained("teppei727/config_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c6189c28918dc1ebd3e7726b5f29a768da1781960d19583d952bce26cc36066
- Size of remote file:
- 1.34 GB
- SHA256:
- 0c200c7b49902aa4abb31f873d7c66ad53fee910e405a864e5fec01bce071ecc
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