Instructions to use muellerzr/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muellerzr/sequence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muellerzr/sequence_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muellerzr/sequence_classification") model = AutoModelForSequenceClassification.from_pretrained("muellerzr/sequence_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8cb139feb63c1e11179f8f062c252c931595df7f33f1f48451d39168c8b1814
- Size of remote file:
- 4.09 kB
- SHA256:
- 1f5c253bb809e6e1aaec06221823ce89b0e413846da6bb647b1d1494b042fa5c
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