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 tokenizer.json from knpatil/laya-browser-agent-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/knpatil/laya-browser-agent-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://knpatil/laya-browser-agent-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/knpatil/laya-browser-agent-base/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.