Text Classification
Transformers
Safetensors
browser-automation
web-agent
modernbert
knowledge-distillation
bropilot
apple-silicon-mps
fast-inference
Instructions to use knpatil/laya-browser-agent-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knpatil/laya-browser-agent-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knpatil/laya-browser-agent-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("knpatil/laya-browser-agent-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from knpatil/laya-browser-agent-base: direct link, hf CLI and curl.
- Browser
- Download file 656 MB
-
https://huggingface.co/knpatil/laya-browser-agent-base/resolve/main/model.safetensors
- Command line
-
hf download hf://knpatil/laya-browser-agent-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/knpatil/laya-browser-agent-base/resolve/main/model.safetensors
656 MB
- Xet hash:
- a5c6a13d88a4b2ad71663b4dfd99e3d908ad86e2df9c28498e90fb623c90f6d2
- Size of remote file:
- 656 MB
- SHA256:
- c8fb56837ed2c78775c306cf15a8eda2f8fbe57471594fedfa5fb31af9d8f7c3
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