Instructions to use Crasher222/kaggle-comp-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Crasher222/kaggle-comp-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Crasher222/kaggle-comp-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Crasher222/kaggle-comp-test") model = AutoModelForSequenceClassification.from_pretrained("Crasher222/kaggle-comp-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ce23978b144995e591a376c37ba39ede2868b1ccc7074e520494945a88ea90c
- Size of remote file:
- 3.62 kB
- SHA256:
- e1506f7bde1c09f6e582eba812db9aa7aedb09009f33f9d4a389992ea4df90cd
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