Instructions to use peter2000/laya-vulnerability-groups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter2000/laya-vulnerability-groups with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peter2000/laya-vulnerability-groups")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peter2000/laya-vulnerability-groups", device_map="auto") - Laya
How to use peter2000/laya-vulnerability-groups with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 788 Bytes
89281e8 ac55aa8 89281e8 ac55aa8 89281e8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"encoder": "answerdotai/ModernBERT-large",
"head_layers": 2,
"max_len": 512,
"head_max_len": 192,
"max_prefixes": 6,
"act_costs": {
"escalate": 0.5
},
"cost_wrong_act": 3.0,
"amp_dtype": "bf16",
"model_name": "laya-vulnerability-groups",
"temperature": [
1.2,
1.2,
4.928757667541504
],
"temperature_by_options": {
"choice:3-5": 1.7601518630981445,
"choice:6-10": 1.0000158548355103,
"score:3-5": 1.2514300346374512,
"noul:2": 4.928757667541504,
"choice:11+": 0.10058280825614929,
"choice:2": 1.9063563346862793
},
"training": {
"updates": 7313,
"epochs_completed": 1,
"hours": 1.96,
"world_size": 1,
"fine_tuned_from_checkpoint": true
},
"gradient_checkpointing": true,
"fine_tuned": true
} |