Instructions to use djsull/sentence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djsull/sentence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="djsull/sentence_classification", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("djsull/sentence_classification") model = AutoModelForSequenceClassification.from_pretrained("djsull/sentence_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cf5c3a76b228cf1d9a094d849e9f888d767c1293d6037137a7585c394753dad
- Size of remote file:
- 272 MB
- SHA256:
- 1aeca9fa2944a1d16b8871bb4f0b027939a10920991948f13f69c95163495c51
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