Instructions to use omzn/facemark_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omzn/facemark_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omzn/facemark_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omzn/facemark_detection") model = AutoModelForSequenceClassification.from_pretrained("omzn/facemark_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5ccde78 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd8770d1711382557ee6b51ce982cba1e326cceae1996a6c58dff65322ec8d98
size 442543725
|