Instructions to use DebateLabKIT/argument-analyst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DebateLabKIT/argument-analyst with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DebateLabKIT/argument-analyst") model = AutoModelForSeq2SeqLM.from_pretrained("DebateLabKIT/argument-analyst", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DebateLabKIT/argument-analyst: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/DebateLabKIT/argument-analyst/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DebateLabKIT/argument-analyst/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DebateLabKIT/argument-analyst/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 2fc3bc9fefd7abd43f8863341ce43429b0d3dbb24c2447f612201201c8346c27
- Size of remote file:
- 2.95 GB
- SHA256:
- 2ed251566cd1da46a73c00c6ea19c6635161a7e130b8111cf39b0e0eefbeb4aa
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