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
Commit History
-
Update README.md
58cf842 -
Update config.json
1cc6623 -
Update config.json
67f7198
-
Update config.json
a9f7163 -
Upload config
920ecff -
Upload tokenizer
08d0f97 -
Upload DistilBertForSequenceClassification
4c392e7 -
Upload DistilBertForSequenceClassification
2bee768 -
Update config.json
82c0c8c -
Upload classifier_model.pth
b551b31 -
Upload DistilBertForSequenceClassification
d115a36 -
Upload DistilBertForSequenceClassification
03451cd -
Update config.json
6680f73 -
Update README.md
4363322 -
Update README.md
8a562ef -
Upload config
70dd86b -
Upload tokenizer
7736021 -
Upload DistilBertForSequenceClassification
0b8860a -
Upload DistilBertForSequenceClassification
e3a9b75 -
initial commit
2ef35fb