Instructions to use spyn4ch/bert-binary-clf-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spyn4ch/bert-binary-clf-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spyn4ch/bert-binary-clf-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spyn4ch/bert-binary-clf-all") model = AutoModelForSequenceClassification.from_pretrained("spyn4ch/bert-binary-clf-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2909429983f04da86ab5ea15872eff104afb28bf4ef4f7b4b66967a334a95bf8
- Size of remote file:
- 5.84 kB
- SHA256:
- 8dd50789d65ab56a9f19352739416e89e6a95f77fdd82a7cf20482acf9c8f025
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