Instructions to use vlsb/autotrain-security-texts-classification-distilroberta-688220764 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vlsb/autotrain-security-texts-classification-distilroberta-688220764 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vlsb/autotrain-security-texts-classification-distilroberta-688220764")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vlsb/autotrain-security-texts-classification-distilroberta-688220764") model = AutoModelForSequenceClassification.from_pretrained("vlsb/autotrain-security-texts-classification-distilroberta-688220764") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0d0c36612287c565e477bcf9b7c8e0d80507f4cf5d732c91111117e77bdf74c
- Size of remote file:
- 9.21 kB
- SHA256:
- f2445fee18e183694d53ffe4d8524c94cde74b20593271bac2cb62f326c466fa
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