Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use jpbywater/bpeo_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpbywater/bpeo_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jpbywater/bpeo_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jpbywater/bpeo_classifier") model = AutoModelForSequenceClassification.from_pretrained("jpbywater/bpeo_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcc6ca8f4a6527ff0343ab7d0b2d6fde726ae64f6b9ba404e53aae39b25d997d
- Size of remote file:
- 5.24 kB
- SHA256:
- 4780b88546a094f6e13d0fc4dfd35380fd77deddca2b8cc6ac5bbcca73c3069a
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