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")# 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:
- 075202a7acb9d65358b16bb775f73a41082ef7879a083961e6a599445d96a782
- Size of remote file:
- 5.24 kB
- SHA256:
- de73261f7d4c24bfbdcf0f2a6d73a54ec74ee4caa2bc5da54bae7d18c80db340
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