Instructions to use AI4Sec/cyner-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Sec/cyner-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AI4Sec/cyner-xlm-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AI4Sec/cyner-xlm-roberta-base") model = AutoModelForTokenClassification.from_pretrained("AI4Sec/cyner-xlm-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download parameter.json from AI4Sec/cyner-xlm-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 253 Bytes
-
https://huggingface.co/AI4Sec/cyner-xlm-roberta-base/resolve/main/parameter.json
- Command line
-
hf download hf://AI4Sec/cyner-xlm-roberta-base/parameter.json
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curl -L -o parameter.json https://huggingface.co/AI4Sec/cyner-xlm-roberta-base/resolve/main/parameter.json
253 Bytes
| {"dataset": "dataset/mitre", "transformers_model": "xlm-roberta-base", "random_seed": 1, "lr": 1e-05, "epochs": 20, "warmup_step": 0, "weight_decay": 1e-07, "batch_size": 32, "max_seq_length": 128, "fp16": false, "max_grad_norm": 1, "lower_case": false} |