Instructions to use SergeyTW/action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/action with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/action")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/action") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/action", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8821f749b95e15d376a03d71de139c832a379f223959e12ac0b76d2ba0fe559d
- Size of remote file:
- 268 MB
- SHA256:
- dec06598b9d4ce08c90f47f98c6667b53561c1530b9fa642a68696c9a2acc151
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