Instructions to use mo374z/theoffice_speaker_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mo374z/theoffice_speaker_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mo374z/theoffice_speaker_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mo374z/theoffice_speaker_classification") model = AutoModelForSequenceClassification.from_pretrained("mo374z/theoffice_speaker_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier_model.pth from mo374z/theoffice_speaker_classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/mo374z/theoffice_speaker_classification/resolve/main/classifier_model.pth
- Command line
-
hf download hf://mo374z/theoffice_speaker_classification/classifier_model.pth
-
curl -L -o classifier_model.pth https://huggingface.co/mo374z/theoffice_speaker_classification/resolve/main/classifier_model.pth
268 MB
- Xet hash:
- 67c8e90bdcc2eed68e83b9be59507987ae0666dc8596321d5f18e49694ca3c0c
- Size of remote file:
- 268 MB
- SHA256:
- 13529ec6d097f39480877fff4b7344609f28387bae18cd4e344a6fe7b520462f
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