Text Classification
Transformers
PyTorch
Safetensors
Dutch
bert
feature-extraction
text-embeddings-inference
Instructions to use hplisiecki/word2affect_dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hplisiecki/word2affect_dutch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hplisiecki/word2affect_dutch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hplisiecki/word2affect_dutch") model = AutoModel.from_pretrained("hplisiecki/word2affect_dutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hplisiecki/word2affect_dutch: direct link, hf CLI and curl.
- Browser
- Download file 714 kB
-
https://huggingface.co/hplisiecki/word2affect_dutch/resolve/main/tokenizer.json
- Command line
-
hf download hf://hplisiecki/word2affect_dutch/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hplisiecki/word2affect_dutch/resolve/main/tokenizer.json
714 kB
File too large to display, you can check the raw version instead.