Token Classification
Transformers
ONNX
Safetensors
English
kompress_v2
text-compression
modernbert
lora
kompress
Instructions to use chopratejas/kompress-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chopratejas/kompress-v2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chopratejas/kompress-v2-base")# pip install -U transformers accelerate # Load model directly from transformers import HeadroomCompressorV2 model = HeadroomCompressorV2.from_pretrained("chopratejas/kompress-v2-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chopratejas/kompress-v2-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/chopratejas/kompress-v2-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://chopratejas/kompress-v2-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chopratejas/kompress-v2-base/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.