Text Classification
Transformers
PyTorch
English
bert
style-transfer
formality-transfer
text-embeddings-inference
Instructions to use ggallipoli/formality_classifier_gyafc_music with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ggallipoli/formality_classifier_gyafc_music with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ggallipoli/formality_classifier_gyafc_music")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ggallipoli/formality_classifier_gyafc_music") model = AutoModelForSequenceClassification.from_pretrained("ggallipoli/formality_classifier_gyafc_music", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ggallipoli/formality_classifier_gyafc_music: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/ggallipoli/formality_classifier_gyafc_music/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ggallipoli/formality_classifier_gyafc_music/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ggallipoli/formality_classifier_gyafc_music/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 383b90b755d48fde964bc532a974b5f91b70a19ccc6c8c51d8a91fbec1f8ba9b
- Size of remote file:
- 433 MB
- SHA256:
- 1f7c2a6e253418583da15a7df9ec35a2ebcfd529de2fb3484541014def8bc0d6
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