Instructions to use nlpchallenges/Text-Classification-Synthethic-Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpchallenges/Text-Classification-Synthethic-Dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlpchallenges/Text-Classification-Synthethic-Dataset")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlpchallenges/Text-Classification-Synthethic-Dataset") model = AutoModelForSequenceClassification.from_pretrained("nlpchallenges/Text-Classification-Synthethic-Dataset") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
86042c0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:292c1982bdfd23c051e284bd00589eb43a7bca931a31e981f814d3ab4246a08b
size 711446532
|