Instructions to use vlsb/autotrain-security-texts-classification-roberta-688020754 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vlsb/autotrain-security-texts-classification-roberta-688020754 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vlsb/autotrain-security-texts-classification-roberta-688020754")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vlsb/autotrain-security-texts-classification-roberta-688020754") model = AutoModelForSequenceClassification.from_pretrained("vlsb/autotrain-security-texts-classification-roberta-688020754", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vlsb/autotrain-security-texts-classification-roberta-688020754: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/vlsb/autotrain-security-texts-classification-roberta-688020754/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vlsb/autotrain-security-texts-classification-roberta-688020754/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/vlsb/autotrain-security-texts-classification-roberta-688020754/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 7b1a7e192f775584c6b76a462cf8b4777022d061865eac3aba2ba06aedfd829e
- Size of remote file:
- 499 MB
- SHA256:
- 9921851e7bc5c634c80e53fcab607e8e3fb3cc91a64515d40c1f7b66fafe364e
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