Text Classification
Transformers
PyTorch
Safetensors
German
bert
feature-extraction
text-embeddings-inference
Instructions to use hplisiecki/word2affect_german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hplisiecki/word2affect_german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hplisiecki/word2affect_german")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hplisiecki/word2affect_german") model = AutoModel.from_pretrained("hplisiecki/word2affect_german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hplisiecki/word2affect_german: direct link, hf CLI and curl.
- Browser
- Download file 737 kB
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https://huggingface.co/hplisiecki/word2affect_german/resolve/main/tokenizer.json
- Command line
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hf download hf://hplisiecki/word2affect_german/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hplisiecki/word2affect_german/resolve/main/tokenizer.json
737 kB
File too large to display, you can check the raw version instead.