Feature Extraction
Transformers
Safetensors
English
multilingual
laya_browser
laya
custom_code
system-1
browser-agent
web-navigation
decision-model
mmbert
mind2web
tilelang
Instructions to use cklxx/laya-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cklxx/laya-browser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cklxx/laya-browser", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cklxx/laya-browser", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download results/fast_multilingual_rtx4070.json from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 2.06 kB
-
https://huggingface.co/cklxx/laya-browser/resolve/main/results/fast_multilingual_rtx4070.json
- Command line
-
hf download hf://cklxx/laya-browser/results/fast_multilingual_rtx4070.json
-
curl -L -o fast_multilingual_rtx4070.json https://huggingface.co/cklxx/laya-browser/resolve/main/results/fast_multilingual_rtx4070.json
2.06 kB
| { | |
| "model": "convaiinnovations/laya", | |
| "subfolder": "multilingual", | |
| "gpu": "NVIDIA GeForce RTX 4070 Ti SUPER", | |
| "torch": "2.11.0+cu130", | |
| "latency": [ | |
| { | |
| "case": "short x1", | |
| "L": 72, | |
| "stock_ms": 13.668888266693102, | |
| "fast_ms": 4.658342966649798, | |
| "dp_stock": 2.798882903221056e-09, | |
| "dp_fast": 1.7186803091817637e-09, | |
| "agree": 1.0, | |
| "e2e_stock_ms": 14.091770666649001, | |
| "e2e_fast_ms": 2.788611866647746 | |
| }, | |
| { | |
| "case": "short x3", | |
| "L": 72, | |
| "stock_ms": 14.214956066643936, | |
| "fast_ms": 2.8768422666568463, | |
| "dp_stock": 0.0006397366523742676, | |
| "dp_fast": 0.000688992440700531, | |
| "agree": 1.0, | |
| "e2e_stock_ms": 14.965299499999674, | |
| "e2e_fast_ms": 3.8480925333108944 | |
| }, | |
| { | |
| "case": "short x30", | |
| "L": 72, | |
| "stock_ms": 15.544085700033369, | |
| "fast_ms": 11.18610439995488, | |
| "dp_stock": 0.0006399154663085938, | |
| "dp_fast": 0.0006888806819915771, | |
| "agree": 1.0, | |
| "e2e_stock_ms": 22.18767193335225, | |
| "e2e_fast_ms": 17.782437666634603 | |
| }, | |
| { | |
| "case": "long x3", | |
| "L": 966, | |
| "stock_ms": 24.46538689994971, | |
| "fast_ms": 18.015161099962523, | |
| "dp_stock": 0.002431929111480713, | |
| "dp_fast": 0.0024688243865966797, | |
| "agree": 1.0, | |
| "e2e_stock_ms": 28.58766999997897, | |
| "e2e_fast_ms": 21.771783533343598 | |
| }, | |
| { | |
| "case": "long x30", | |
| "L": 966, | |
| "stock_ms": 283.5949272333285, | |
| "fast_ms": 152.4874108333582, | |
| "dp_stock": 0.002358555793762207, | |
| "dp_fast": 0.0024689435958862305, | |
| "agree": 1.0, | |
| "e2e_stock_ms": 320.73739300000545, | |
| "e2e_fast_ms": 187.6040845333288 | |
| } | |
| ], | |
| "eval": { | |
| "ag_news": { | |
| "n": 1000, | |
| "stock": { | |
| "acc": 0.923, | |
| "ece": 0.050969099999999955, | |
| "ms": 14.88432291600111 | |
| }, | |
| "fast": { | |
| "acc": 0.923, | |
| "ece": 0.049720100000000045, | |
| "ms": 3.1630109549987537 | |
| }, | |
| "agreement": 0.996 | |
| }, | |
| "emotion": { | |
| "n": 1000, | |
| "stock": { | |
| "acc": 0.538, | |
| "ece": 0.3315955, | |
| "ms": 14.303604885000823 | |
| }, | |
| "fast": { | |
| "acc": 0.54, | |
| "ece": 0.33158200000000004, | |
| "ms": 2.93563167100001 | |
| }, | |
| "agreement": 0.992 | |
| } | |
| } | |
| } |