Text Classification
Transformers
Safetensors
kv-cache
llm-serving
inference
survival-analysis
vllm
sglang
agents
Instructions to use Avifenesh/layby-dwell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Avifenesh/layby-dwell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Avifenesh/layby-dwell")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Avifenesh/layby-dwell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from Avifenesh/layby-dwell: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/Avifenesh/layby-dwell/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://Avifenesh/layby-dwell/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Avifenesh/layby-dwell/resolve/main/tokenizer/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.