Instructions to use hplisiecki/word2affect_english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hplisiecki/word2affect_english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hplisiecki/word2affect_english")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hplisiecki/word2affect_english") model = AutoModel.from_pretrained("hplisiecki/word2affect_english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82a167ed90ef8cb7ede4ce00edcd07f7112124f59a83621b9287821a5afcfb47
- Size of remote file:
- 450 MB
- SHA256:
- 06d3539e3ba563f91124dd1736f6ce082630fd834340c4d3b7894c3077bc3e02
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